[ { "title": "", "header": [ { "value": "Model", "markdown": false, "metadata": {} }, { "value": "Refusal Rate", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nRefusal Rate: Refusal rate", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Refusal Rate", "run_group": "AIRBench 2024" } }, { "value": "Security Risks", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nSecurity Risks: Refusal rate for AIR level 2 category: Security Risks", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Security Risks", "run_group": "AIRBench 2024" } }, { "value": "Operational Misuses", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nOperational Misuses: Refusal rate for AIR level 2 category: Operational Misuses", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Operational Misuses", "run_group": "AIRBench 2024" } }, { "value": "Violence & Extremism", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nViolence & Extremism: Refusal rate for AIR level 2 category: Violence & Extremism", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Violence & Extremism", "run_group": "AIRBench 2024" } }, { "value": "Hate/Toxicity", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nHate/Toxicity: Refusal rate for AIR level 2 category: Hate/Toxicity", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Hate/Toxicity", "run_group": "AIRBench 2024" } }, { "value": "Sexual Content", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nSexual Content: Refusal rate for AIR level 2 category: Sexual Content", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Sexual Content", "run_group": "AIRBench 2024" } }, { "value": "Child Harm", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nChild Harm: Refusal rate for AIR level 2 category: Child Harm", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Child Harm", "run_group": "AIRBench 2024" } }, { "value": "Self-harm", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nSelf-harm: Refusal rate for AIR level 2 category: Self-harm", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Self-harm", "run_group": "AIRBench 2024" } }, { "value": "Political Usage", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nPolitical Usage: Refusal rate for AIR level 2 category: Political Usage", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Political Usage", "run_group": "AIRBench 2024" } }, { "value": "Economic Harm", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nEconomic Harm: Refusal rate for AIR level 2 category: Economic Harm", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Economic Harm", "run_group": "AIRBench 2024" } }, { "value": "Deception", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nDeception: Refusal rate for AIR level 2 category: Deception", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Deception", "run_group": "AIRBench 2024" } }, { "value": "Manipulation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nManipulation: Refusal rate for AIR level 2 category: Manipulation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Manipulation", "run_group": "AIRBench 2024" } }, { "value": "Defamation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nDefamation: Refusal rate for AIR level 2 category: Defamation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Defamation", "run_group": "AIRBench 2024" } }, { "value": "Fundamental Rights", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nFundamental Rights: Refusal rate for AIR level 2 category: Fundamental Rights", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Fundamental Rights", "run_group": "AIRBench 2024" } }, { "value": "Discrimination/Bias", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nDiscrimination/Bias: Refusal rate for AIR level 2 category: Discrimination/Bias", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Discrimination/Bias", "run_group": "AIRBench 2024" } }, { "value": "Privacy", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nPrivacy: Refusal rate for AIR level 2 category: Privacy", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Privacy", "run_group": "AIRBench 2024" } }, { "value": "Criminal Activities", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nCriminal Activities: Refusal rate for AIR level 2 category: Criminal Activities", "markdown": false, "lower_is_better": false, "metadata": { "metric": "Criminal Activities", "run_group": "AIRBench 2024" } }, { "value": "#1: Confidentiality", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#1: Confidentiality: Refusal rate for AIR level 3 category #1: Confidentiality", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#1: Confidentiality", "run_group": "AIRBench 2024" } }, { "value": "#2: Integrity", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#2: Integrity: Refusal rate for AIR level 3 category #2: Integrity", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#2: Integrity", "run_group": "AIRBench 2024" } }, { "value": "#3: Availability", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#3: Availability: Refusal rate for AIR level 3 category #3: Availability", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#3: Availability", "run_group": "AIRBench 2024" } }, { "value": "#4: Automated Decision-Making", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#4: Automated Decision-Making: Refusal rate for AIR level 3 category #4: Automated Decision-Making", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#4: Automated Decision-Making", "run_group": "AIRBench 2024" } }, { "value": "#5: Autonomous Unsafe Operation of Systems", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#5: Autonomous Unsafe Operation of Systems: Refusal rate for AIR level 3 category #5: Autonomous Unsafe Operation of Systems", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#5: Autonomous Unsafe Operation of Systems", "run_group": "AIRBench 2024" } }, { "value": "#6: Advice in Heavily Regulated Industries", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#6: Advice in Heavily Regulated Industries: Refusal rate for AIR level 3 category #6: Advice in Heavily Regulated Industries", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#6: Advice in Heavily Regulated Industries", "run_group": "AIRBench 2024" } }, { "value": "#7: Supporting Malicious Organized Groups", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#7: Supporting Malicious Organized Groups: Refusal rate for AIR level 3 category #7: Supporting Malicious Organized Groups", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#7: Supporting Malicious Organized Groups", "run_group": "AIRBench 2024" } }, { "value": "#8: Celebrating Suffering", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#8: Celebrating Suffering: Refusal rate for AIR level 3 category #8: Celebrating Suffering", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#8: Celebrating Suffering", "run_group": "AIRBench 2024" } }, { "value": "#9: Violent acts", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#9: Violent acts: Refusal rate for AIR level 3 category #9: Violent acts", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#9: Violent acts", "run_group": "AIRBench 2024" } }, { "value": "#10: Depicting Violence", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#10: Depicting Violence: Refusal rate for AIR level 3 category #10: Depicting Violence", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#10: Depicting Violence", "run_group": "AIRBench 2024" } }, { "value": "#11: Weapon Usage & Development", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#11: Weapon Usage & Development: Refusal rate for AIR level 3 category #11: Weapon Usage & Development", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#11: Weapon Usage & Development", "run_group": "AIRBench 2024" } }, { "value": "#12: Military and Warfare", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#12: Military and Warfare: Refusal rate for AIR level 3 category #12: Military and Warfare", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#12: Military and Warfare", "run_group": "AIRBench 2024" } }, { "value": "#13: Harassment", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#13: Harassment: Refusal rate for AIR level 3 category #13: Harassment", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#13: Harassment", "run_group": "AIRBench 2024" } }, { "value": "#14: Hate Speech (Inciting/Promoting/Expressing hatred)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14: Hate Speech (Inciting/Promoting/Expressing hatred): Refusal rate for AIR level 3 category #14: Hate Speech (Inciting/Promoting/Expressing hatred)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14: Hate Speech (Inciting/Promoting/Expressing hatred)", "run_group": "AIRBench 2024" } }, { "value": "#15: Perpetuating Harmful Beliefs", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#15: Perpetuating Harmful Beliefs: Refusal rate for AIR level 3 category #15: Perpetuating Harmful Beliefs", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#15: Perpetuating Harmful Beliefs", "run_group": "AIRBench 2024" } }, { "value": "#16: Offensive Language", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#16: Offensive Language: Refusal rate for AIR level 3 category #16: Offensive Language", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#16: Offensive Language", "run_group": "AIRBench 2024" } }, { "value": "#17: Adult content", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#17: Adult content: Refusal rate for AIR level 3 category #17: Adult content", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#17: Adult content", "run_group": "AIRBench 2024" } }, { "value": "#18: Erotic", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#18: Erotic: Refusal rate for AIR level 3 category #18: Erotic", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#18: Erotic", "run_group": "AIRBench 2024" } }, { "value": "#19: Non-Consensual Nudity", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#19: Non-Consensual Nudity: Refusal rate for AIR level 3 category #19: Non-Consensual Nudity", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#19: Non-Consensual Nudity", "run_group": "AIRBench 2024" } }, { "value": "#20: Monetized", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#20: Monetized: Refusal rate for AIR level 3 category #20: Monetized", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#20: Monetized", "run_group": "AIRBench 2024" } }, { "value": "#21: Endangerment, Harm, or Abuse of Children", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#21: Endangerment, Harm, or Abuse of Children: Refusal rate for AIR level 3 category #21: Endangerment, Harm, or Abuse of Children", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#21: Endangerment, Harm, or Abuse of Children", "run_group": "AIRBench 2024" } }, { "value": "#22: Child Sexual Abuse", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#22: Child Sexual Abuse: Refusal rate for AIR level 3 category #22: Child Sexual Abuse", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#22: Child Sexual Abuse", "run_group": "AIRBench 2024" } }, { "value": "#23: Suicidal and non-suicidal self Injury", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#23: Suicidal and non-suicidal self Injury: Refusal rate for AIR level 3 category #23: Suicidal and non-suicidal self Injury", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#23: Suicidal and non-suicidal self Injury", "run_group": "AIRBench 2024" } }, { "value": "#24: Political Persuasion", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#24: Political Persuasion: Refusal rate for AIR level 3 category #24: Political Persuasion", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#24: Political Persuasion", "run_group": "AIRBench 2024" } }, { "value": "#25: Influencing Politics", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#25: Influencing Politics: Refusal rate for AIR level 3 category #25: Influencing Politics", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#25: Influencing Politics", "run_group": "AIRBench 2024" } }, { "value": "#26: Deterring Democratic Participation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#26: Deterring Democratic Participation: Refusal rate for AIR level 3 category #26: Deterring Democratic Participation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#26: Deterring Democratic Participation", "run_group": "AIRBench 2024" } }, { "value": "#27: Disrupting Social Order (China-unique)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#27: Disrupting Social Order (China-unique): Refusal rate for AIR level 3 category #27: Disrupting Social Order (China-unique)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#27: Disrupting Social Order (China-unique)", "run_group": "AIRBench 2024" } }, { "value": "#28: High-Risk Financial Activities", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#28: High-Risk Financial Activities: Refusal rate for AIR level 3 category #28: High-Risk Financial Activities", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#28: High-Risk Financial Activities", "run_group": "AIRBench 2024" } }, { "value": "#29: Unfair Market Practices", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#29: Unfair Market Practices: Refusal rate for AIR level 3 category #29: Unfair Market Practices", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#29: Unfair Market Practices", "run_group": "AIRBench 2024" } }, { "value": "#30: Disempowering Workers", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#30: Disempowering Workers: Refusal rate for AIR level 3 category #30: Disempowering Workers", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#30: Disempowering Workers", "run_group": "AIRBench 2024" } }, { "value": "#31: Fraudulent Schemes", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#31: Fraudulent Schemes: Refusal rate for AIR level 3 category #31: Fraudulent Schemes", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#31: Fraudulent Schemes", "run_group": "AIRBench 2024" } }, { "value": "#32: Fraud", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#32: Fraud: Refusal rate for AIR level 3 category #32: Fraud", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#32: Fraud", "run_group": "AIRBench 2024" } }, { "value": "#33: Academic dishonesty", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#33: Academic dishonesty: Refusal rate for AIR level 3 category #33: Academic dishonesty", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#33: Academic dishonesty", "run_group": "AIRBench 2024" } }, { "value": "#34: Mis/disinformation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#34: Mis/disinformation: Refusal rate for AIR level 3 category #34: Mis/disinformation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#34: Mis/disinformation", "run_group": "AIRBench 2024" } }, { "value": "#35: Sowing Division", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#35: Sowing Division: Refusal rate for AIR level 3 category #35: Sowing Division", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#35: Sowing Division", "run_group": "AIRBench 2024" } }, { "value": "#36: Misrepresentation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#36: Misrepresentation: Refusal rate for AIR level 3 category #36: Misrepresentation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#36: Misrepresentation", "run_group": "AIRBench 2024" } }, { "value": "#37: Types of Defamation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#37: Types of Defamation: Refusal rate for AIR level 3 category #37: Types of Defamation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#37: Types of Defamation", "run_group": "AIRBench 2024" } }, { "value": "#38: Specific Types of Rights", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#38: Specific Types of Rights: Refusal rate for AIR level 3 category #38: Specific Types of Rights", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#38: Specific Types of Rights", "run_group": "AIRBench 2024" } }, { "value": "#39-40: Discrimination/Protected Characteristics Combinations", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40: Discrimination/Protected Characteristics Combinations: Refusal rate for AIR level 3 category #39-40: Discrimination/Protected Characteristics Combinations", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40: Discrimination/Protected Characteristics Combinations", "run_group": "AIRBench 2024" } }, { "value": "#41-42: Privacy Violations/Sensitive Data Combinations", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42: Privacy Violations/Sensitive Data Combinations: Refusal rate for AIR level 3 category #41-42: Privacy Violations/Sensitive Data Combinations", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42: Privacy Violations/Sensitive Data Combinations", "run_group": "AIRBench 2024" } }, { "value": "#43: Illegal/Regulated substances/goods", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#43: Illegal/Regulated substances/goods: Refusal rate for AIR level 3 category #43: Illegal/Regulated substances/goods", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#43: Illegal/Regulated substances/goods", "run_group": "AIRBench 2024" } }, { "value": "#44: Illegal services/exploitation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#44: Illegal services/exploitation: Refusal rate for AIR level 3 category #44: Illegal services/exploitation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#44: Illegal services/exploitation", "run_group": "AIRBench 2024" } }, { "value": "#45: Other Illegal/Unlawful/Criminal Activities", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#45: Other Illegal/Unlawful/Criminal Activities: Refusal rate for AIR level 3 category #45: Other Illegal/Unlawful/Criminal Activities", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#45: Other Illegal/Unlawful/Criminal Activities", "run_group": "AIRBench 2024" } }, { "value": "#1.1: Network intrusion", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#1.1: Network intrusion: Refusal rate for AIR level 4 category #1.1: Network intrusion", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#1.1: Network intrusion", "run_group": "AIRBench 2024" } }, { "value": "#1.2: Vulnerability probing", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#1.2: Vulnerability probing: Refusal rate for AIR level 4 category #1.2: Vulnerability probing", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#1.2: Vulnerability probing", "run_group": "AIRBench 2024" } }, { "value": "#1.3: Spoofing", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#1.3: Spoofing: Refusal rate for AIR level 4 category #1.3: Spoofing", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#1.3: Spoofing", "run_group": "AIRBench 2024" } }, { "value": "#1.4: Spear phishing", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#1.4: Spear phishing: Refusal rate for AIR level 4 category #1.4: Spear phishing", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#1.4: Spear phishing", "run_group": "AIRBench 2024" } }, { "value": "#1.5: Social engineering", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#1.5: Social engineering: Refusal rate for AIR level 4 category #1.5: Social engineering", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#1.5: Social engineering", "run_group": "AIRBench 2024" } }, { "value": "#1.6: Unauthorized network entry", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#1.6: Unauthorized network entry: Refusal rate for AIR level 4 category #1.6: Unauthorized network entry", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#1.6: Unauthorized network entry", "run_group": "AIRBench 2024" } }, { "value": "#2.7: Malware", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#2.7: Malware: Refusal rate for AIR level 4 category #2.7: Malware", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#2.7: Malware", "run_group": "AIRBench 2024" } }, { "value": "#2.8: Packet forgery", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#2.8: Packet forgery: Refusal rate for AIR level 4 category #2.8: Packet forgery", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#2.8: Packet forgery", "run_group": "AIRBench 2024" } }, { "value": "#2.9: Data tampering", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#2.9: Data tampering: Refusal rate for AIR level 4 category #2.9: Data tampering", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#2.9: Data tampering", "run_group": "AIRBench 2024" } }, { "value": "#2.10: Control override (safety/privacy filters)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#2.10: Control override (safety/privacy filters): Refusal rate for AIR level 4 category #2.10: Control override (safety/privacy filters)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#2.10: Control override (safety/privacy filters)", "run_group": "AIRBench 2024" } }, { "value": "#3.11: System/Website impairment", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#3.11: System/Website impairment: Refusal rate for AIR level 4 category #3.11: System/Website impairment", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#3.11: System/Website impairment", "run_group": "AIRBench 2024" } }, { "value": "#3.12: Network disruption", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#3.12: Network disruption: Refusal rate for AIR level 4 category #3.12: Network disruption", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#3.12: Network disruption", "run_group": "AIRBench 2024" } }, { "value": "#4.1: Financing eligibility/Creditworthiness", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#4.1: Financing eligibility/Creditworthiness: Refusal rate for AIR level 4 category #4.1: Financing eligibility/Creditworthiness", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#4.1: Financing eligibility/Creditworthiness", "run_group": "AIRBench 2024" } }, { "value": "#4.2: Criminal justice/Predictive policing", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#4.2: Criminal justice/Predictive policing: Refusal rate for AIR level 4 category #4.2: Criminal justice/Predictive policing", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#4.2: Criminal justice/Predictive policing", "run_group": "AIRBench 2024" } }, { "value": "#4.3: Adversely affects legal rights", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#4.3: Adversely affects legal rights: Refusal rate for AIR level 4 category #4.3: Adversely affects legal rights", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#4.3: Adversely affects legal rights", "run_group": "AIRBench 2024" } }, { "value": "#4.4: Employment", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#4.4: Employment: Refusal rate for AIR level 4 category #4.4: Employment", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#4.4: Employment", "run_group": "AIRBench 2024" } }, { "value": "#4.5: Social scoring", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#4.5: Social scoring: Refusal rate for AIR level 4 category #4.5: Social scoring", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#4.5: Social scoring", "run_group": "AIRBench 2024" } }, { "value": "#4.6: Housing eligibility", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#4.6: Housing eligibility: Refusal rate for AIR level 4 category #4.6: Housing eligibility", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#4.6: Housing eligibility", "run_group": "AIRBench 2024" } }, { "value": "#4.7: Education eligibility", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#4.7: Education eligibility: Refusal rate for AIR level 4 category #4.7: Education eligibility", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#4.7: Education eligibility", "run_group": "AIRBench 2024" } }, { "value": "#4.8: Migration eligibility", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#4.8: Migration eligibility: Refusal rate for AIR level 4 category #4.8: Migration eligibility", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#4.8: Migration eligibility", "run_group": "AIRBench 2024" } }, { "value": "#4.9: Insurance eligibility", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#4.9: Insurance eligibility: Refusal rate for AIR level 4 category #4.9: Insurance eligibility", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#4.9: Insurance eligibility", "run_group": "AIRBench 2024" } }, { "value": "#4.10: Profiling", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#4.10: Profiling: Refusal rate for AIR level 4 category #4.10: Profiling", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#4.10: Profiling", "run_group": "AIRBench 2024" } }, { "value": "#5.11: Heavy machinery", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#5.11: Heavy machinery: Refusal rate for AIR level 4 category #5.11: Heavy machinery", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#5.11: Heavy machinery", "run_group": "AIRBench 2024" } }, { "value": "#5.12: Transportation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#5.12: Transportation: Refusal rate for AIR level 4 category #5.12: Transportation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#5.12: Transportation", "run_group": "AIRBench 2024" } }, { "value": "#5.13: Energy/Electrical grids", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#5.13: Energy/Electrical grids: Refusal rate for AIR level 4 category #5.13: Energy/Electrical grids", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#5.13: Energy/Electrical grids", "run_group": "AIRBench 2024" } }, { "value": "#5.14: Nuclear facilities", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#5.14: Nuclear facilities: Refusal rate for AIR level 4 category #5.14: Nuclear facilities", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#5.14: Nuclear facilities", "run_group": "AIRBench 2024" } }, { "value": "#5.15: Aircraft navigation/Air traffic control", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#5.15: Aircraft navigation/Air traffic control: Refusal rate for AIR level 4 category #5.15: Aircraft navigation/Air traffic control", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#5.15: Aircraft navigation/Air traffic control", "run_group": "AIRBench 2024" } }, { "value": "#5.16: Communication systems", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#5.16: Communication systems: Refusal rate for AIR level 4 category #5.16: Communication systems", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#5.16: Communication systems", "run_group": "AIRBench 2024" } }, { "value": "#5.17: Water treatment facilities", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#5.17: Water treatment facilities: Refusal rate for AIR level 4 category #5.17: Water treatment facilities", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#5.17: Water treatment facilities", "run_group": "AIRBench 2024" } }, { "value": "#5.18: Life support", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#5.18: Life support: Refusal rate for AIR level 4 category #5.18: Life support", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#5.18: Life support", "run_group": "AIRBench 2024" } }, { "value": "#5.19: Weapon systems/Battlefield management", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#5.19: Weapon systems/Battlefield management: Refusal rate for AIR level 4 category #5.19: Weapon systems/Battlefield management", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#5.19: Weapon systems/Battlefield management", "run_group": "AIRBench 2024" } }, { "value": "#5.20: Emergency services", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#5.20: Emergency services: Refusal rate for AIR level 4 category #5.20: Emergency services", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#5.20: Emergency services", "run_group": "AIRBench 2024" } }, { "value": "#5.21: Other unauthorized actions on behalf of users", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#5.21: Other unauthorized actions on behalf of users: Refusal rate for AIR level 4 category #5.21: Other unauthorized actions on behalf of users", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#5.21: Other unauthorized actions on behalf of users", "run_group": "AIRBench 2024" } }, { "value": "#6.22: Legal", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#6.22: Legal: Refusal rate for AIR level 4 category #6.22: Legal", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#6.22: Legal", "run_group": "AIRBench 2024" } }, { "value": "#6.23: Medical/Pharmaceutical", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#6.23: Medical/Pharmaceutical: Refusal rate for AIR level 4 category #6.23: Medical/Pharmaceutical", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#6.23: Medical/Pharmaceutical", "run_group": "AIRBench 2024" } }, { "value": "#6.24: Accounting", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#6.24: Accounting: Refusal rate for AIR level 4 category #6.24: Accounting", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#6.24: Accounting", "run_group": "AIRBench 2024" } }, { "value": "#6.25: Financial", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#6.25: Financial: Refusal rate for AIR level 4 category #6.25: Financial", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#6.25: Financial", "run_group": "AIRBench 2024" } }, { "value": "#6.26: Government services", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#6.26: Government services: Refusal rate for AIR level 4 category #6.26: Government services", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#6.26: Government services", "run_group": "AIRBench 2024" } }, { "value": "#7.1: Extremism", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#7.1: Extremism: Refusal rate for AIR level 4 category #7.1: Extremism", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#7.1: Extremism", "run_group": "AIRBench 2024" } }, { "value": "#7.2: Terrorism", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#7.2: Terrorism: Refusal rate for AIR level 4 category #7.2: Terrorism", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#7.2: Terrorism", "run_group": "AIRBench 2024" } }, { "value": "#7.3: Criminal organization", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#7.3: Criminal organization: Refusal rate for AIR level 4 category #7.3: Criminal organization", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#7.3: Criminal organization", "run_group": "AIRBench 2024" } }, { "value": "#8.4: Glorifying violence, abuse, or the suffering of others", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#8.4: Glorifying violence, abuse, or the suffering of others: Refusal rate for AIR level 4 category #8.4: Glorifying violence, abuse, or the suffering of others", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#8.4: Glorifying violence, abuse, or the suffering of others", "run_group": "AIRBench 2024" } }, { "value": "#8.5: Belittling victimhood or violent events", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#8.5: Belittling victimhood or violent events: Refusal rate for AIR level 4 category #8.5: Belittling victimhood or violent events", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#8.5: Belittling victimhood or violent events", "run_group": "AIRBench 2024" } }, { "value": "#8.6: Denying or minimizing well-documented, major violent events or the victimhood of such events/Denying the deeds of martyrdom", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#8.6: Denying or minimizing well-documented, major violent events or the victimhood of such events/Denying the deeds of martyrdom: Refusal rate for AIR level 4 category #8.6: Denying or minimizing well-documented, major violent events or the victimhood of such events/Denying the deeds of martyrdom", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#8.6: Denying or minimizing well-documented, major violent events or the victimhood of such events/Denying the deeds of martyrdom", "run_group": "AIRBench 2024" } }, { "value": "#8.7: Beautifying and whitewashing acts of war or aggression", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#8.7: Beautifying and whitewashing acts of war or aggression: Refusal rate for AIR level 4 category #8.7: Beautifying and whitewashing acts of war or aggression", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#8.7: Beautifying and whitewashing acts of war or aggression", "run_group": "AIRBench 2024" } }, { "value": "#9.8: Persons (including murder)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#9.8: Persons (including murder): Refusal rate for AIR level 4 category #9.8: Persons (including murder)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#9.8: Persons (including murder)", "run_group": "AIRBench 2024" } }, { "value": "#9.9: Animals", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#9.9: Animals: Refusal rate for AIR level 4 category #9.9: Animals", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#9.9: Animals", "run_group": "AIRBench 2024" } }, { "value": "#9.10: Property damage", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#9.10: Property damage: Refusal rate for AIR level 4 category #9.10: Property damage", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#9.10: Property damage", "run_group": "AIRBench 2024" } }, { "value": "#9.11: Environmental", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#9.11: Environmental: Refusal rate for AIR level 4 category #9.11: Environmental", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#9.11: Environmental", "run_group": "AIRBench 2024" } }, { "value": "#10.12: Bodily destruction", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#10.12: Bodily destruction: Refusal rate for AIR level 4 category #10.12: Bodily destruction", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#10.12: Bodily destruction", "run_group": "AIRBench 2024" } }, { "value": "#10.13: Bodily mutilation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#10.13: Bodily mutilation: Refusal rate for AIR level 4 category #10.13: Bodily mutilation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#10.13: Bodily mutilation", "run_group": "AIRBench 2024" } }, { "value": "#10.14: Torture/abuse", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#10.14: Torture/abuse: Refusal rate for AIR level 4 category #10.14: Torture/abuse", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#10.14: Torture/abuse", "run_group": "AIRBench 2024" } }, { "value": "#10.15: Animal abuse", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#10.15: Animal abuse: Refusal rate for AIR level 4 category #10.15: Animal abuse", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#10.15: Animal abuse", "run_group": "AIRBench 2024" } }, { "value": "#10.16: Activities meant to kill", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#10.16: Activities meant to kill: Refusal rate for AIR level 4 category #10.16: Activities meant to kill", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#10.16: Activities meant to kill", "run_group": "AIRBench 2024" } }, { "value": "#11.17: Guns", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#11.17: Guns: Refusal rate for AIR level 4 category #11.17: Guns", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#11.17: Guns", "run_group": "AIRBench 2024" } }, { "value": "#11.18: Explosives/Dangerous Materials", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#11.18: Explosives/Dangerous Materials: Refusal rate for AIR level 4 category #11.18: Explosives/Dangerous Materials", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#11.18: Explosives/Dangerous Materials", "run_group": "AIRBench 2024" } }, { "value": "#11.19: Bioweapons/Viruses/Gain-of-function", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#11.19: Bioweapons/Viruses/Gain-of-function: Refusal rate for AIR level 4 category #11.19: Bioweapons/Viruses/Gain-of-function", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#11.19: Bioweapons/Viruses/Gain-of-function", "run_group": "AIRBench 2024" } }, { "value": "#11.20: Nuclear Weapons", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#11.20: Nuclear Weapons: Refusal rate for AIR level 4 category #11.20: Nuclear Weapons", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#11.20: Nuclear Weapons", "run_group": "AIRBench 2024" } }, { "value": "#11.21: Chemical Weapons", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#11.21: Chemical Weapons: Refusal rate for AIR level 4 category #11.21: Chemical Weapons", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#11.21: Chemical Weapons", "run_group": "AIRBench 2024" } }, { "value": "#11.22: Radiological Weapons", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#11.22: Radiological Weapons: Refusal rate for AIR level 4 category #11.22: Radiological Weapons", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#11.22: Radiological Weapons", "run_group": "AIRBench 2024" } }, { "value": "#12.23: Military", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#12.23: Military: Refusal rate for AIR level 4 category #12.23: Military", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#12.23: Military", "run_group": "AIRBench 2024" } }, { "value": "#12.24: Warfare", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#12.24: Warfare: Refusal rate for AIR level 4 category #12.24: Warfare", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#12.24: Warfare", "run_group": "AIRBench 2024" } }, { "value": "#13.1: Bullying", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#13.1: Bullying: Refusal rate for AIR level 4 category #13.1: Bullying", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#13.1: Bullying", "run_group": "AIRBench 2024" } }, { "value": "#13.2: Threats", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#13.2: Threats: Refusal rate for AIR level 4 category #13.2: Threats", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#13.2: Threats", "run_group": "AIRBench 2024" } }, { "value": "#13.3: Intimidation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#13.3: Intimidation: Refusal rate for AIR level 4 category #13.3: Intimidation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#13.3: Intimidation", "run_group": "AIRBench 2024" } }, { "value": "#13.4: Shaming", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#13.4: Shaming: Refusal rate for AIR level 4 category #13.4: Shaming", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#13.4: Shaming", "run_group": "AIRBench 2024" } }, { "value": "#13.5: Humiliation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#13.5: Humiliation: Refusal rate for AIR level 4 category #13.5: Humiliation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#13.5: Humiliation", "run_group": "AIRBench 2024" } }, { "value": "#13.6: Insults/Personal attacks", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#13.6: Insults/Personal attacks: Refusal rate for AIR level 4 category #13.6: Insults/Personal attacks", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#13.6: Insults/Personal attacks", "run_group": "AIRBench 2024" } }, { "value": "#13.7: Abuse", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#13.7: Abuse: Refusal rate for AIR level 4 category #13.7: Abuse", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#13.7: Abuse", "run_group": "AIRBench 2024" } }, { "value": "#13.8: Provoking", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#13.8: Provoking: Refusal rate for AIR level 4 category #13.8: Provoking", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#13.8: Provoking", "run_group": "AIRBench 2024" } }, { "value": "#13.9: Trolling", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#13.9: Trolling: Refusal rate for AIR level 4 category #13.9: Trolling", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#13.9: Trolling", "run_group": "AIRBench 2024" } }, { "value": "#13.10: Doxxing", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#13.10: Doxxing: Refusal rate for AIR level 4 category #13.10: Doxxing", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#13.10: Doxxing", "run_group": "AIRBench 2024" } }, { "value": "#13.11: Cursing", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#13.11: Cursing: Refusal rate for AIR level 4 category #13.11: Cursing", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#13.11: Cursing", "run_group": "AIRBench 2024" } }, { "value": "#14.12: Race", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.12: Race: Refusal rate for AIR level 4 category #14.12: Race", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.12: Race", "run_group": "AIRBench 2024" } }, { "value": "#14.13: Ethnicity", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.13: Ethnicity: Refusal rate for AIR level 4 category #14.13: Ethnicity", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.13: Ethnicity", "run_group": "AIRBench 2024" } }, { "value": "#14.14: Color", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.14: Color: Refusal rate for AIR level 4 category #14.14: Color", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.14: Color", "run_group": "AIRBench 2024" } }, { "value": "#14.15: Gender", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.15: Gender: Refusal rate for AIR level 4 category #14.15: Gender", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.15: Gender", "run_group": "AIRBench 2024" } }, { "value": "#14.16: Sexual orientation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.16: Sexual orientation: Refusal rate for AIR level 4 category #14.16: Sexual orientation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.16: Sexual orientation", "run_group": "AIRBench 2024" } }, { "value": "#14.17: Religion", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.17: Religion: Refusal rate for AIR level 4 category #14.17: Religion", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.17: Religion", "run_group": "AIRBench 2024" } }, { "value": "#14.18: Beliefs", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.18: Beliefs: Refusal rate for AIR level 4 category #14.18: Beliefs", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.18: Beliefs", "run_group": "AIRBench 2024" } }, { "value": "#14.19: Nationality", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.19: Nationality: Refusal rate for AIR level 4 category #14.19: Nationality", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.19: Nationality", "run_group": "AIRBench 2024" } }, { "value": "#14.20: Geographic region", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.20: Geographic region: Refusal rate for AIR level 4 category #14.20: Geographic region", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.20: Geographic region", "run_group": "AIRBench 2024" } }, { "value": "#14.21: Caste", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.21: Caste: Refusal rate for AIR level 4 category #14.21: Caste", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.21: Caste", "run_group": "AIRBench 2024" } }, { "value": "#14.22: Social behaviors", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.22: Social behaviors: Refusal rate for AIR level 4 category #14.22: Social behaviors", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.22: Social behaviors", "run_group": "AIRBench 2024" } }, { "value": "#14.23: Physical characteristics", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.23: Physical characteristics: Refusal rate for AIR level 4 category #14.23: Physical characteristics", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.23: Physical characteristics", "run_group": "AIRBench 2024" } }, { "value": "#14.24: Mental characteristics", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.24: Mental characteristics: Refusal rate for AIR level 4 category #14.24: Mental characteristics", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.24: Mental characteristics", "run_group": "AIRBench 2024" } }, { "value": "#14.25: Personality", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.25: Personality: Refusal rate for AIR level 4 category #14.25: Personality", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.25: Personality", "run_group": "AIRBench 2024" } }, { "value": "#14.26: Health conditions", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.26: Health conditions: Refusal rate for AIR level 4 category #14.26: Health conditions", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.26: Health conditions", "run_group": "AIRBench 2024" } }, { "value": "#14.27: Disability", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.27: Disability: Refusal rate for AIR level 4 category #14.27: Disability", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.27: Disability", "run_group": "AIRBench 2024" } }, { "value": "#14.28: Pregnancy status", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.28: Pregnancy status: Refusal rate for AIR level 4 category #14.28: Pregnancy status", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.28: Pregnancy status", "run_group": "AIRBench 2024" } }, { "value": "#14.29: Genetic information", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.29: Genetic information: Refusal rate for AIR level 4 category #14.29: Genetic information", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.29: Genetic information", "run_group": "AIRBench 2024" } }, { "value": "#14.30: Occupation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.30: Occupation: Refusal rate for AIR level 4 category #14.30: Occupation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.30: Occupation", "run_group": "AIRBench 2024" } }, { "value": "#14.31: Age", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#14.31: Age: Refusal rate for AIR level 4 category #14.31: Age", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#14.31: Age", "run_group": "AIRBench 2024" } }, { "value": "#15.32: Negative stereotyping of any group", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#15.32: Negative stereotyping of any group: Refusal rate for AIR level 4 category #15.32: Negative stereotyping of any group", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#15.32: Negative stereotyping of any group", "run_group": "AIRBench 2024" } }, { "value": "#15.33: Perpetuating racism", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#15.33: Perpetuating racism: Refusal rate for AIR level 4 category #15.33: Perpetuating racism", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#15.33: Perpetuating racism", "run_group": "AIRBench 2024" } }, { "value": "#15.34: Perpetuating sexism", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#15.34: Perpetuating sexism: Refusal rate for AIR level 4 category #15.34: Perpetuating sexism", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#15.34: Perpetuating sexism", "run_group": "AIRBench 2024" } }, { "value": "#16.35: Vulgarity", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#16.35: Vulgarity: Refusal rate for AIR level 4 category #16.35: Vulgarity", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#16.35: Vulgarity", "run_group": "AIRBench 2024" } }, { "value": "#16.36: Derogatory comments", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#16.36: Derogatory comments: Refusal rate for AIR level 4 category #16.36: Derogatory comments", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#16.36: Derogatory comments", "run_group": "AIRBench 2024" } }, { "value": "#17.1: Obscenity", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#17.1: Obscenity: Refusal rate for AIR level 4 category #17.1: Obscenity", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#17.1: Obscenity", "run_group": "AIRBench 2024" } }, { "value": "#17.2: Suggestive", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#17.2: Suggestive: Refusal rate for AIR level 4 category #17.2: Suggestive", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#17.2: Suggestive", "run_group": "AIRBench 2024" } }, { "value": "#17.3: Sexual acts", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#17.3: Sexual acts: Refusal rate for AIR level 4 category #17.3: Sexual acts", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#17.3: Sexual acts", "run_group": "AIRBench 2024" } }, { "value": "#17.4: Sexual intercourse", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#17.4: Sexual intercourse: Refusal rate for AIR level 4 category #17.4: Sexual intercourse", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#17.4: Sexual intercourse", "run_group": "AIRBench 2024" } }, { "value": "#18.5: Erotic chats", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#18.5: Erotic chats: Refusal rate for AIR level 4 category #18.5: Erotic chats", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#18.5: Erotic chats", "run_group": "AIRBench 2024" } }, { "value": "#18.6: Fetishes", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#18.6: Fetishes: Refusal rate for AIR level 4 category #18.6: Fetishes", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#18.6: Fetishes", "run_group": "AIRBench 2024" } }, { "value": "#19.7: NCII (Non-consensual Intimate Image)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#19.7: NCII (Non-consensual Intimate Image): Refusal rate for AIR level 4 category #19.7: NCII (Non-consensual Intimate Image)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#19.7: NCII (Non-consensual Intimate Image)", "run_group": "AIRBench 2024" } }, { "value": "#20.8: Pornography", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#20.8: Pornography: Refusal rate for AIR level 4 category #20.8: Pornography", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#20.8: Pornography", "run_group": "AIRBench 2024" } }, { "value": "#20.9: Promotion of sexual services", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#20.9: Promotion of sexual services: Refusal rate for AIR level 4 category #20.9: Promotion of sexual services", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#20.9: Promotion of sexual services", "run_group": "AIRBench 2024" } }, { "value": "#21.1: Grooming", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#21.1: Grooming: Refusal rate for AIR level 4 category #21.1: Grooming", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#21.1: Grooming", "run_group": "AIRBench 2024" } }, { "value": "#21.2: Pedophilia", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#21.2: Pedophilia: Refusal rate for AIR level 4 category #21.2: Pedophilia", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#21.2: Pedophilia", "run_group": "AIRBench 2024" } }, { "value": "#21.3: Exploiting/Harming minors", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#21.3: Exploiting/Harming minors: Refusal rate for AIR level 4 category #21.3: Exploiting/Harming minors", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#21.3: Exploiting/Harming minors", "run_group": "AIRBench 2024" } }, { "value": "#21.4: Building services targeting minors/failure to employ age-gating", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#21.4: Building services targeting minors/failure to employ age-gating: Refusal rate for AIR level 4 category #21.4: Building services targeting minors/failure to employ age-gating", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#21.4: Building services targeting minors/failure to employ age-gating", "run_group": "AIRBench 2024" } }, { "value": "#21.5: Building services to present a persona of minor", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#21.5: Building services to present a persona of minor: Refusal rate for AIR level 4 category #21.5: Building services to present a persona of minor", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#21.5: Building services to present a persona of minor", "run_group": "AIRBench 2024" } }, { "value": "#22.6: Solicitation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#22.6: Solicitation: Refusal rate for AIR level 4 category #22.6: Solicitation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#22.6: Solicitation", "run_group": "AIRBench 2024" } }, { "value": "#22.7: CSAM", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#22.7: CSAM: Refusal rate for AIR level 4 category #22.7: CSAM", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#22.7: CSAM", "run_group": "AIRBench 2024" } }, { "value": "#23.1: Suicide", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#23.1: Suicide: Refusal rate for AIR level 4 category #23.1: Suicide", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#23.1: Suicide", "run_group": "AIRBench 2024" } }, { "value": "#23.2: Cutting", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#23.2: Cutting: Refusal rate for AIR level 4 category #23.2: Cutting", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#23.2: Cutting", "run_group": "AIRBench 2024" } }, { "value": "#23.3: Eating Disorders (anorexia/bulimia)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#23.3: Eating Disorders (anorexia/bulimia): Refusal rate for AIR level 4 category #23.3: Eating Disorders (anorexia/bulimia)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#23.3: Eating Disorders (anorexia/bulimia)", "run_group": "AIRBench 2024" } }, { "value": "#24.1: Lobbying", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#24.1: Lobbying: Refusal rate for AIR level 4 category #24.1: Lobbying", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#24.1: Lobbying", "run_group": "AIRBench 2024" } }, { "value": "#24.2: Generating high-volume campaign materials", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#24.2: Generating high-volume campaign materials: Refusal rate for AIR level 4 category #24.2: Generating high-volume campaign materials", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#24.2: Generating high-volume campaign materials", "run_group": "AIRBench 2024" } }, { "value": "#24.3: Personalized or targeted campaign materials", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#24.3: Personalized or targeted campaign materials: Refusal rate for AIR level 4 category #24.3: Personalized or targeted campaign materials", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#24.3: Personalized or targeted campaign materials", "run_group": "AIRBench 2024" } }, { "value": "#24.4: Building systems for political campaigning or lobbying", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#24.4: Building systems for political campaigning or lobbying: Refusal rate for AIR level 4 category #24.4: Building systems for political campaigning or lobbying", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#24.4: Building systems for political campaigning or lobbying", "run_group": "AIRBench 2024" } }, { "value": "#24.5: Building products for political campaigning or lobbying", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#24.5: Building products for political campaigning or lobbying: Refusal rate for AIR level 4 category #24.5: Building products for political campaigning or lobbying", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#24.5: Building products for political campaigning or lobbying", "run_group": "AIRBench 2024" } }, { "value": "#24.6: Political advertisements", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#24.6: Political advertisements: Refusal rate for AIR level 4 category #24.6: Political advertisements", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#24.6: Political advertisements", "run_group": "AIRBench 2024" } }, { "value": "#24.7: Propaganda", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#24.7: Propaganda: Refusal rate for AIR level 4 category #24.7: Propaganda", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#24.7: Propaganda", "run_group": "AIRBench 2024" } }, { "value": "#25.8: Influence political decisions", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#25.8: Influence political decisions: Refusal rate for AIR level 4 category #25.8: Influence political decisions", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#25.8: Influence political decisions", "run_group": "AIRBench 2024" } }, { "value": "#25.9: Influence political opinions", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#25.9: Influence political opinions: Refusal rate for AIR level 4 category #25.9: Influence political opinions", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#25.9: Influence political opinions", "run_group": "AIRBench 2024" } }, { "value": "#26.10: Deterring participation in democratic processes", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#26.10: Deterring participation in democratic processes: Refusal rate for AIR level 4 category #26.10: Deterring participation in democratic processes", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#26.10: Deterring participation in democratic processes", "run_group": "AIRBench 2024" } }, { "value": "#26.11: Misrepresenting voting processes", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#26.11: Misrepresenting voting processes: Refusal rate for AIR level 4 category #26.11: Misrepresenting voting processes", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#26.11: Misrepresenting voting processes", "run_group": "AIRBench 2024" } }, { "value": "#26.12: Misrepresenting voting qualifications", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#26.12: Misrepresenting voting qualifications: Refusal rate for AIR level 4 category #26.12: Misrepresenting voting qualifications", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#26.12: Misrepresenting voting qualifications", "run_group": "AIRBench 2024" } }, { "value": "#26.13: Discouraging voting", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#26.13: Discouraging voting: Refusal rate for AIR level 4 category #26.13: Discouraging voting", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#26.13: Discouraging voting", "run_group": "AIRBench 2024" } }, { "value": "#27.14: Opposing constitutional principles", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#27.14: Opposing constitutional principles: Refusal rate for AIR level 4 category #27.14: Opposing constitutional principles", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#27.14: Opposing constitutional principles", "run_group": "AIRBench 2024" } }, { "value": "#27.15: Subverting state power", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#27.15: Subverting state power: Refusal rate for AIR level 4 category #27.15: Subverting state power", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#27.15: Subverting state power", "run_group": "AIRBench 2024" } }, { "value": "#27.16: Undermining national unity", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#27.16: Undermining national unity: Refusal rate for AIR level 4 category #27.16: Undermining national unity", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#27.16: Undermining national unity", "run_group": "AIRBench 2024" } }, { "value": "#27.17: Damaging state interests", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#27.17: Damaging state interests: Refusal rate for AIR level 4 category #27.17: Damaging state interests", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#27.17: Damaging state interests", "run_group": "AIRBench 2024" } }, { "value": "#27.18: Damaging the state\u2019s honor", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#27.18: Damaging the state\u2019s honor: Refusal rate for AIR level 4 category #27.18: Damaging the state\u2019s honor", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#27.18: Damaging the state\u2019s honor", "run_group": "AIRBench 2024" } }, { "value": "#27.19: Inciting unlawful assemblies", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#27.19: Inciting unlawful assemblies: Refusal rate for AIR level 4 category #27.19: Inciting unlawful assemblies", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#27.19: Inciting unlawful assemblies", "run_group": "AIRBench 2024" } }, { "value": "#27.20: Inciting unlawful associations", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#27.20: Inciting unlawful associations: Refusal rate for AIR level 4 category #27.20: Inciting unlawful associations", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#27.20: Inciting unlawful associations", "run_group": "AIRBench 2024" } }, { "value": "#27.21: Inciting unlawful processions", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#27.21: Inciting unlawful processions: Refusal rate for AIR level 4 category #27.21: Inciting unlawful processions", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#27.21: Inciting unlawful processions", "run_group": "AIRBench 2024" } }, { "value": "#27.22: Inciting unlawful demonstrations", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#27.22: Inciting unlawful demonstrations: Refusal rate for AIR level 4 category #27.22: Inciting unlawful demonstrations", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#27.22: Inciting unlawful demonstrations", "run_group": "AIRBench 2024" } }, { "value": "#27.23: Undermining religious policies", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#27.23: Undermining religious policies: Refusal rate for AIR level 4 category #27.23: Undermining religious policies", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#27.23: Undermining religious policies", "run_group": "AIRBench 2024" } }, { "value": "#27.24: Promoting cults", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#27.24: Promoting cults: Refusal rate for AIR level 4 category #27.24: Promoting cults", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#27.24: Promoting cults", "run_group": "AIRBench 2024" } }, { "value": "#27.25: Promoting feudal superstitions", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#27.25: Promoting feudal superstitions: Refusal rate for AIR level 4 category #27.25: Promoting feudal superstitions", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#27.25: Promoting feudal superstitions", "run_group": "AIRBench 2024" } }, { "value": "#28.1: Gambling (e.g., sports betting)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#28.1: Gambling (e.g., sports betting): Refusal rate for AIR level 4 category #28.1: Gambling (e.g., sports betting)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#28.1: Gambling (e.g., sports betting)", "run_group": "AIRBench 2024" } }, { "value": "#28.2: Payday lending", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#28.2: Payday lending: Refusal rate for AIR level 4 category #28.2: Payday lending", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#28.2: Payday lending", "run_group": "AIRBench 2024" } }, { "value": "#29.3: Exploiting advantages for monopolistic practices", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#29.3: Exploiting advantages for monopolistic practices: Refusal rate for AIR level 4 category #29.3: Exploiting advantages for monopolistic practices", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#29.3: Exploiting advantages for monopolistic practices", "run_group": "AIRBench 2024" } }, { "value": "#29.4: Anticompetitive practices", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#29.4: Anticompetitive practices: Refusal rate for AIR level 4 category #29.4: Anticompetitive practices", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#29.4: Anticompetitive practices", "run_group": "AIRBench 2024" } }, { "value": "#30.5: Undermine workers' rights", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#30.5: Undermine workers' rights: Refusal rate for AIR level 4 category #30.5: Undermine workers' rights", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#30.5: Undermine workers' rights", "run_group": "AIRBench 2024" } }, { "value": "#30.6: Worsen job quality", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#30.6: Worsen job quality: Refusal rate for AIR level 4 category #30.6: Worsen job quality", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#30.6: Worsen job quality", "run_group": "AIRBench 2024" } }, { "value": "#30.7: Encourage undue worker surveillance", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#30.7: Encourage undue worker surveillance: Refusal rate for AIR level 4 category #30.7: Encourage undue worker surveillance", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#30.7: Encourage undue worker surveillance", "run_group": "AIRBench 2024" } }, { "value": "#30.8: Cause harmful labor-force disruptions", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#30.8: Cause harmful labor-force disruptions: Refusal rate for AIR level 4 category #30.8: Cause harmful labor-force disruptions", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#30.8: Cause harmful labor-force disruptions", "run_group": "AIRBench 2024" } }, { "value": "#31.9: Multi-level marketing", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#31.9: Multi-level marketing: Refusal rate for AIR level 4 category #31.9: Multi-level marketing", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#31.9: Multi-level marketing", "run_group": "AIRBench 2024" } }, { "value": "#31.10: Pyramid schemes", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#31.10: Pyramid schemes: Refusal rate for AIR level 4 category #31.10: Pyramid schemes", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#31.10: Pyramid schemes", "run_group": "AIRBench 2024" } }, { "value": "#32.1: Spam", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#32.1: Spam: Refusal rate for AIR level 4 category #32.1: Spam", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#32.1: Spam", "run_group": "AIRBench 2024" } }, { "value": "#32.2: Scams", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#32.2: Scams: Refusal rate for AIR level 4 category #32.2: Scams", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#32.2: Scams", "run_group": "AIRBench 2024" } }, { "value": "#32.3: Phishing/Catfishing", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#32.3: Phishing/Catfishing: Refusal rate for AIR level 4 category #32.3: Phishing/Catfishing", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#32.3: Phishing/Catfishing", "run_group": "AIRBench 2024" } }, { "value": "#32.4: Pseudo-pharmaceuticals", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#32.4: Pseudo-pharmaceuticals: Refusal rate for AIR level 4 category #32.4: Pseudo-pharmaceuticals", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#32.4: Pseudo-pharmaceuticals", "run_group": "AIRBench 2024" } }, { "value": "#32.5: Impersonating others", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#32.5: Impersonating others: Refusal rate for AIR level 4 category #32.5: Impersonating others", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#32.5: Impersonating others", "run_group": "AIRBench 2024" } }, { "value": "#33.6: Plagiarism", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#33.6: Plagiarism: Refusal rate for AIR level 4 category #33.6: Plagiarism", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#33.6: Plagiarism", "run_group": "AIRBench 2024" } }, { "value": "#33.7: Promoting academic dishonesty", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#33.7: Promoting academic dishonesty: Refusal rate for AIR level 4 category #33.7: Promoting academic dishonesty", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#33.7: Promoting academic dishonesty", "run_group": "AIRBench 2024" } }, { "value": "#34.8: Generating or promoting misinformation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#34.8: Generating or promoting misinformation: Refusal rate for AIR level 4 category #34.8: Generating or promoting misinformation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#34.8: Generating or promoting misinformation", "run_group": "AIRBench 2024" } }, { "value": "#34.9: Fake online engagement (fake reviews, fake grassroots support)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#34.9: Fake online engagement (fake reviews, fake grassroots support): Refusal rate for AIR level 4 category #34.9: Fake online engagement (fake reviews, fake grassroots support)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#34.9: Fake online engagement (fake reviews, fake grassroots support)", "run_group": "AIRBench 2024" } }, { "value": "#35.1: Inducing internal conflict", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#35.1: Inducing internal conflict: Refusal rate for AIR level 4 category #35.1: Inducing internal conflict", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#35.1: Inducing internal conflict", "run_group": "AIRBench 2024" } }, { "value": "#35.2: Deflecting scrutiny from harmful actions", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#35.2: Deflecting scrutiny from harmful actions: Refusal rate for AIR level 4 category #35.2: Deflecting scrutiny from harmful actions", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#35.2: Deflecting scrutiny from harmful actions", "run_group": "AIRBench 2024" } }, { "value": "#36.3: Automated social media posts", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#36.3: Automated social media posts: Refusal rate for AIR level 4 category #36.3: Automated social media posts", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#36.3: Automated social media posts", "run_group": "AIRBench 2024" } }, { "value": "#36.4: Not labeling content as AI-generated (Using chatbots to convince people they are communicating with a human)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#36.4: Not labeling content as AI-generated (Using chatbots to convince people they are communicating with a human): Refusal rate for AIR level 4 category #36.4: Not labeling content as AI-generated (Using chatbots to convince people they are communicating with a human)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#36.4: Not labeling content as AI-generated (Using chatbots to convince people they are communicating with a human)", "run_group": "AIRBench 2024" } }, { "value": "#36.5: Impersonating humans", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#36.5: Impersonating humans: Refusal rate for AIR level 4 category #36.5: Impersonating humans", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#36.5: Impersonating humans", "run_group": "AIRBench 2024" } }, { "value": "#37.1: Disparagement", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#37.1: Disparagement: Refusal rate for AIR level 4 category #37.1: Disparagement", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#37.1: Disparagement", "run_group": "AIRBench 2024" } }, { "value": "#37.2: Libel", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#37.2: Libel: Refusal rate for AIR level 4 category #37.2: Libel", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#37.2: Libel", "run_group": "AIRBench 2024" } }, { "value": "#37.3: Slander", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#37.3: Slander: Refusal rate for AIR level 4 category #37.3: Slander", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#37.3: Slander", "run_group": "AIRBench 2024" } }, { "value": "#38.1: IP rights/ Trade secrets", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#38.1: IP rights/ Trade secrets: Refusal rate for AIR level 4 category #38.1: IP rights/ Trade secrets", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#38.1: IP rights/ Trade secrets", "run_group": "AIRBench 2024" } }, { "value": "#38.2: Likeness rights", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#38.2: Likeness rights: Refusal rate for AIR level 4 category #38.2: Likeness rights", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#38.2: Likeness rights", "run_group": "AIRBench 2024" } }, { "value": "#38.3: Reputation rights", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#38.3: Reputation rights: Refusal rate for AIR level 4 category #38.3: Reputation rights", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#38.3: Reputation rights", "run_group": "AIRBench 2024" } }, { "value": "#38.4: Honor", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#38.4: Honor: Refusal rate for AIR level 4 category #38.4: Honor", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#38.4: Honor", "run_group": "AIRBench 2024" } }, { "value": "#38.5: Name rights", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#38.5: Name rights: Refusal rate for AIR level 4 category #38.5: Name rights", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#38.5: Name rights", "run_group": "AIRBench 2024" } }, { "value": "#39-40.1: Discrimination in employment, benefits, or services - Race", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.1: Discrimination in employment, benefits, or services - Race: Refusal rate for AIR level 4 category #39-40.1: Discrimination in employment, benefits, or services - Race", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.1: Discrimination in employment, benefits, or services - Race", "run_group": "AIRBench 2024" } }, { "value": "#39-40.2: Discrimination in employment, benefits, or services - Ethnicity", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.2: Discrimination in employment, benefits, or services - Ethnicity: Refusal rate for AIR level 4 category #39-40.2: Discrimination in employment, benefits, or services - Ethnicity", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.2: Discrimination in employment, benefits, or services - Ethnicity", "run_group": "AIRBench 2024" } }, { "value": "#39-40.3: Discrimination in employment, benefits, or services - Color", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.3: Discrimination in employment, benefits, or services - Color: Refusal rate for AIR level 4 category #39-40.3: Discrimination in employment, benefits, or services - Color", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.3: Discrimination in employment, benefits, or services - Color", "run_group": "AIRBench 2024" } }, { "value": "#39-40.4: Discrimination in employment, benefits, or services - Gender", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.4: Discrimination in employment, benefits, or services - Gender: Refusal rate for AIR level 4 category #39-40.4: Discrimination in employment, benefits, or services - Gender", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.4: Discrimination in employment, benefits, or services - Gender", "run_group": "AIRBench 2024" } }, { "value": "#39-40.5: Discrimination in employment, benefits, or services - Sexual orientation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.5: Discrimination in employment, benefits, or services - Sexual orientation: Refusal rate for AIR level 4 category #39-40.5: Discrimination in employment, benefits, or services - Sexual orientation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.5: Discrimination in employment, benefits, or services - Sexual orientation", "run_group": "AIRBench 2024" } }, { "value": "#39-40.6: Discrimination in employment, benefits, or services - Religion", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.6: Discrimination in employment, benefits, or services - Religion: Refusal rate for AIR level 4 category #39-40.6: Discrimination in employment, benefits, or services - Religion", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.6: Discrimination in employment, benefits, or services - Religion", "run_group": "AIRBench 2024" } }, { "value": "#39-40.7: Discrimination in employment, benefits, or services - Beliefs", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.7: Discrimination in employment, benefits, or services - Beliefs: Refusal rate for AIR level 4 category #39-40.7: Discrimination in employment, benefits, or services - Beliefs", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.7: Discrimination in employment, benefits, or services - Beliefs", "run_group": "AIRBench 2024" } }, { "value": "#39-40.8: Discrimination in employment, benefits, or services - Nationality", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.8: Discrimination in employment, benefits, or services - Nationality: Refusal rate for AIR level 4 category #39-40.8: Discrimination in employment, benefits, or services - Nationality", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.8: Discrimination in employment, benefits, or services - Nationality", "run_group": "AIRBench 2024" } }, { "value": "#39-40.9: Discrimination in employment, benefits, or services - Geographic region", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.9: Discrimination in employment, benefits, or services - Geographic region: Refusal rate for AIR level 4 category #39-40.9: Discrimination in employment, benefits, or services - Geographic region", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.9: Discrimination in employment, benefits, or services - Geographic region", "run_group": "AIRBench 2024" } }, { "value": "#39-40.10: Discrimination in employment, benefits, or services - Caste", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.10: Discrimination in employment, benefits, or services - Caste: Refusal rate for AIR level 4 category #39-40.10: Discrimination in employment, benefits, or services - Caste", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.10: Discrimination in employment, benefits, or services - Caste", "run_group": "AIRBench 2024" } }, { "value": "#39-40.11: Discrimination in employment, benefits, or services - Social behaviors", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.11: Discrimination in employment, benefits, or services - Social behaviors: Refusal rate for AIR level 4 category #39-40.11: Discrimination in employment, benefits, or services - Social behaviors", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.11: Discrimination in employment, benefits, or services - Social behaviors", "run_group": "AIRBench 2024" } }, { "value": "#39-40.12: Discrimination in employment, benefits, or services - Physical Characteristics", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.12: Discrimination in employment, benefits, or services - Physical Characteristics: Refusal rate for AIR level 4 category #39-40.12: Discrimination in employment, benefits, or services - Physical Characteristics", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.12: Discrimination in employment, benefits, or services - Physical Characteristics", "run_group": "AIRBench 2024" } }, { "value": "#39-40.13: Discrimination in employment, benefits, or services - Mental Characteristics", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.13: Discrimination in employment, benefits, or services - Mental Characteristics: Refusal rate for AIR level 4 category #39-40.13: Discrimination in employment, benefits, or services - Mental Characteristics", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.13: Discrimination in employment, benefits, or services - Mental Characteristics", "run_group": "AIRBench 2024" } }, { "value": "#39-40.14: Discrimination in employment, benefits, or services - Predicted Personality", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.14: Discrimination in employment, benefits, or services - Predicted Personality: Refusal rate for AIR level 4 category #39-40.14: Discrimination in employment, benefits, or services - Predicted Personality", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.14: Discrimination in employment, benefits, or services - Predicted Personality", "run_group": "AIRBench 2024" } }, { "value": "#39-40.15: Discrimination in employment, benefits, or services - Health conditions", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.15: Discrimination in employment, benefits, or services - Health conditions: Refusal rate for AIR level 4 category #39-40.15: Discrimination in employment, benefits, or services - Health conditions", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.15: Discrimination in employment, benefits, or services - Health conditions", "run_group": "AIRBench 2024" } }, { "value": "#39-40.16: Discrimination in employment, benefits, or services - Disability", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.16: Discrimination in employment, benefits, or services - Disability: Refusal rate for AIR level 4 category #39-40.16: Discrimination in employment, benefits, or services - Disability", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.16: Discrimination in employment, benefits, or services - Disability", "run_group": "AIRBench 2024" } }, { "value": "#39-40.17: Discrimination in employment, benefits, or services - Pregnancy Status", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.17: Discrimination in employment, benefits, or services - Pregnancy Status: Refusal rate for AIR level 4 category #39-40.17: Discrimination in employment, benefits, or services - Pregnancy Status", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.17: Discrimination in employment, benefits, or services - Pregnancy Status", "run_group": "AIRBench 2024" } }, { "value": "#39-40.18: Discrimination in employment, benefits, or services - Genetic Information", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.18: Discrimination in employment, benefits, or services - Genetic Information: Refusal rate for AIR level 4 category #39-40.18: Discrimination in employment, benefits, or services - Genetic Information", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.18: Discrimination in employment, benefits, or services - Genetic Information", "run_group": "AIRBench 2024" } }, { "value": "#39-40.19: Discrimination in employment, benefits, or services - Occupation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.19: Discrimination in employment, benefits, or services - Occupation: Refusal rate for AIR level 4 category #39-40.19: Discrimination in employment, benefits, or services - Occupation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.19: Discrimination in employment, benefits, or services - Occupation", "run_group": "AIRBench 2024" } }, { "value": "#39-40.20: Discrimination in employment, benefits, or services - Age", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.20: Discrimination in employment, benefits, or services - Age: Refusal rate for AIR level 4 category #39-40.20: Discrimination in employment, benefits, or services - Age", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.20: Discrimination in employment, benefits, or services - Age", "run_group": "AIRBench 2024" } }, { "value": "#39-40.21: Characterization of identity - Race", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.21: Characterization of identity - Race: Refusal rate for AIR level 4 category #39-40.21: Characterization of identity - Race", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.21: Characterization of identity - Race", "run_group": "AIRBench 2024" } }, { "value": "#39-40.22: Characterization of identity - Ethnicity", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.22: Characterization of identity - Ethnicity: Refusal rate for AIR level 4 category #39-40.22: Characterization of identity - Ethnicity", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.22: Characterization of identity - Ethnicity", "run_group": "AIRBench 2024" } }, { "value": "#39-40.23: Characterization of identity - Color", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.23: Characterization of identity - Color: Refusal rate for AIR level 4 category #39-40.23: Characterization of identity - Color", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.23: Characterization of identity - Color", "run_group": "AIRBench 2024" } }, { "value": "#39-40.24: Characterization of identity - Gender", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.24: Characterization of identity - Gender: Refusal rate for AIR level 4 category #39-40.24: Characterization of identity - Gender", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.24: Characterization of identity - Gender", "run_group": "AIRBench 2024" } }, { "value": "#39-40.25: Characterization of identity - Sexual orientation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.25: Characterization of identity - Sexual orientation: Refusal rate for AIR level 4 category #39-40.25: Characterization of identity - Sexual orientation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.25: Characterization of identity - Sexual orientation", "run_group": "AIRBench 2024" } }, { "value": "#39-40.26: Characterization of identity - Religion", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.26: Characterization of identity - Religion: Refusal rate for AIR level 4 category #39-40.26: Characterization of identity - Religion", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.26: Characterization of identity - Religion", "run_group": "AIRBench 2024" } }, { "value": "#39-40.27: Characterization of identity - Beliefs", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.27: Characterization of identity - Beliefs: Refusal rate for AIR level 4 category #39-40.27: Characterization of identity - Beliefs", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.27: Characterization of identity - Beliefs", "run_group": "AIRBench 2024" } }, { "value": "#39-40.28: Characterization of identity - Nationality", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.28: Characterization of identity - Nationality: Refusal rate for AIR level 4 category #39-40.28: Characterization of identity - Nationality", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.28: Characterization of identity - Nationality", "run_group": "AIRBench 2024" } }, { "value": "#39-40.29: Characterization of identity - Geographic region", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.29: Characterization of identity - Geographic region: Refusal rate for AIR level 4 category #39-40.29: Characterization of identity - Geographic region", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.29: Characterization of identity - Geographic region", "run_group": "AIRBench 2024" } }, { "value": "#39-40.30: Characterization of identity - Caste", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.30: Characterization of identity - Caste: Refusal rate for AIR level 4 category #39-40.30: Characterization of identity - Caste", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.30: Characterization of identity - Caste", "run_group": "AIRBench 2024" } }, { "value": "#39-40.31: Characterization of identity - Social behaviors", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.31: Characterization of identity - Social behaviors: Refusal rate for AIR level 4 category #39-40.31: Characterization of identity - Social behaviors", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.31: Characterization of identity - Social behaviors", "run_group": "AIRBench 2024" } }, { "value": "#39-40.32: Characterization of identity - Physical Characteristics", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.32: Characterization of identity - Physical Characteristics: Refusal rate for AIR level 4 category #39-40.32: Characterization of identity - Physical Characteristics", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.32: Characterization of identity - Physical Characteristics", "run_group": "AIRBench 2024" } }, { "value": "#39-40.33: Characterization of identity - Mental Characteristics", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.33: Characterization of identity - Mental Characteristics: Refusal rate for AIR level 4 category #39-40.33: Characterization of identity - Mental Characteristics", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.33: Characterization of identity - Mental Characteristics", "run_group": "AIRBench 2024" } }, { "value": "#39-40.34: Characterization of identity - Predicted Personality", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.34: Characterization of identity - Predicted Personality: Refusal rate for AIR level 4 category #39-40.34: Characterization of identity - Predicted Personality", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.34: Characterization of identity - Predicted Personality", "run_group": "AIRBench 2024" } }, { "value": "#39-40.35: Characterization of identity - Health conditions", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.35: Characterization of identity - Health conditions: Refusal rate for AIR level 4 category #39-40.35: Characterization of identity - Health conditions", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.35: Characterization of identity - Health conditions", "run_group": "AIRBench 2024" } }, { "value": "#39-40.36: Characterization of identity - Disability", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.36: Characterization of identity - Disability: Refusal rate for AIR level 4 category #39-40.36: Characterization of identity - Disability", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.36: Characterization of identity - Disability", "run_group": "AIRBench 2024" } }, { "value": "#39-40.37: Characterization of identity - Pregnancy Status", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.37: Characterization of identity - Pregnancy Status: Refusal rate for AIR level 4 category #39-40.37: Characterization of identity - Pregnancy Status", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.37: Characterization of identity - Pregnancy Status", "run_group": "AIRBench 2024" } }, { "value": "#39-40.38: Characterization of identity - Genetic Information", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.38: Characterization of identity - Genetic Information: Refusal rate for AIR level 4 category #39-40.38: Characterization of identity - Genetic Information", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.38: Characterization of identity - Genetic Information", "run_group": "AIRBench 2024" } }, { "value": "#39-40.39: Characterization of identity - Occupation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.39: Characterization of identity - Occupation: Refusal rate for AIR level 4 category #39-40.39: Characterization of identity - Occupation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.39: Characterization of identity - Occupation", "run_group": "AIRBench 2024" } }, { "value": "#39-40.40: Characterization of identity - Age", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.40: Characterization of identity - Age: Refusal rate for AIR level 4 category #39-40.40: Characterization of identity - Age", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.40: Characterization of identity - Age", "run_group": "AIRBench 2024" } }, { "value": "#39-40.41: Classification of individuals - Race", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.41: Classification of individuals - Race: Refusal rate for AIR level 4 category #39-40.41: Classification of individuals - Race", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.41: Classification of individuals - Race", "run_group": "AIRBench 2024" } }, { "value": "#39-40.42: Classification of individuals - Ethnicity", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.42: Classification of individuals - Ethnicity: Refusal rate for AIR level 4 category #39-40.42: Classification of individuals - Ethnicity", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.42: Classification of individuals - Ethnicity", "run_group": "AIRBench 2024" } }, { "value": "#39-40.43: Classification of individuals - Color", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.43: Classification of individuals - Color: Refusal rate for AIR level 4 category #39-40.43: Classification of individuals - Color", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.43: Classification of individuals - Color", "run_group": "AIRBench 2024" } }, { "value": "#39-40.44: Classification of individuals - Gender", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.44: Classification of individuals - Gender: Refusal rate for AIR level 4 category #39-40.44: Classification of individuals - Gender", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.44: Classification of individuals - Gender", "run_group": "AIRBench 2024" } }, { "value": "#39-40.45: Classification of individuals - Sexual orientation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.45: Classification of individuals - Sexual orientation: Refusal rate for AIR level 4 category #39-40.45: Classification of individuals - Sexual orientation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.45: Classification of individuals - Sexual orientation", "run_group": "AIRBench 2024" } }, { "value": "#39-40.46: Classification of individuals - Religion", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.46: Classification of individuals - Religion: Refusal rate for AIR level 4 category #39-40.46: Classification of individuals - Religion", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.46: Classification of individuals - Religion", "run_group": "AIRBench 2024" } }, { "value": "#39-40.47: Classification of individuals - Beliefs", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.47: Classification of individuals - Beliefs: Refusal rate for AIR level 4 category #39-40.47: Classification of individuals - Beliefs", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.47: Classification of individuals - Beliefs", "run_group": "AIRBench 2024" } }, { "value": "#39-40.48: Classification of individuals - Nationality", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.48: Classification of individuals - Nationality: Refusal rate for AIR level 4 category #39-40.48: Classification of individuals - Nationality", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.48: Classification of individuals - Nationality", "run_group": "AIRBench 2024" } }, { "value": "#39-40.49: Classification of individuals - Geographic region", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.49: Classification of individuals - Geographic region: Refusal rate for AIR level 4 category #39-40.49: Classification of individuals - Geographic region", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.49: Classification of individuals - Geographic region", "run_group": "AIRBench 2024" } }, { "value": "#39-40.50: Classification of individuals - Caste", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.50: Classification of individuals - Caste: Refusal rate for AIR level 4 category #39-40.50: Classification of individuals - Caste", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.50: Classification of individuals - Caste", "run_group": "AIRBench 2024" } }, { "value": "#39-40.51: Classification of individuals - Social behaviors", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.51: Classification of individuals - Social behaviors: Refusal rate for AIR level 4 category #39-40.51: Classification of individuals - Social behaviors", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.51: Classification of individuals - Social behaviors", "run_group": "AIRBench 2024" } }, { "value": "#39-40.52: Classification of individuals - Physical Characteristics", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.52: Classification of individuals - Physical Characteristics: Refusal rate for AIR level 4 category #39-40.52: Classification of individuals - Physical Characteristics", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.52: Classification of individuals - Physical Characteristics", "run_group": "AIRBench 2024" } }, { "value": "#39-40.53: Classification of individuals - Mental Characteristics", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.53: Classification of individuals - Mental Characteristics: Refusal rate for AIR level 4 category #39-40.53: Classification of individuals - Mental Characteristics", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.53: Classification of individuals - Mental Characteristics", "run_group": "AIRBench 2024" } }, { "value": "#39-40.54: Classification of individuals - Predicted Personality", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.54: Classification of individuals - Predicted Personality: Refusal rate for AIR level 4 category #39-40.54: Classification of individuals - Predicted Personality", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.54: Classification of individuals - Predicted Personality", "run_group": "AIRBench 2024" } }, { "value": "#39-40.55: Classification of individuals - Health conditions", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.55: Classification of individuals - Health conditions: Refusal rate for AIR level 4 category #39-40.55: Classification of individuals - Health conditions", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.55: Classification of individuals - Health conditions", "run_group": "AIRBench 2024" } }, { "value": "#39-40.56: Classification of individuals - Disability", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.56: Classification of individuals - Disability: Refusal rate for AIR level 4 category #39-40.56: Classification of individuals - Disability", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.56: Classification of individuals - Disability", "run_group": "AIRBench 2024" } }, { "value": "#39-40.57: Classification of individuals - Pregnancy Status", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.57: Classification of individuals - Pregnancy Status: Refusal rate for AIR level 4 category #39-40.57: Classification of individuals - Pregnancy Status", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.57: Classification of individuals - Pregnancy Status", "run_group": "AIRBench 2024" } }, { "value": "#39-40.58: Classification of individuals - Genetic Information", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.58: Classification of individuals - Genetic Information: Refusal rate for AIR level 4 category #39-40.58: Classification of individuals - Genetic Information", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.58: Classification of individuals - Genetic Information", "run_group": "AIRBench 2024" } }, { "value": "#39-40.59: Classification of individuals - Occupation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.59: Classification of individuals - Occupation: Refusal rate for AIR level 4 category #39-40.59: Classification of individuals - Occupation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.59: Classification of individuals - Occupation", "run_group": "AIRBench 2024" } }, { "value": "#39-40.60: Classification of individuals - Age", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#39-40.60: Classification of individuals - Age: Refusal rate for AIR level 4 category #39-40.60: Classification of individuals - Age", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#39-40.60: Classification of individuals - Age", "run_group": "AIRBench 2024" } }, { "value": "#41-42.1: Unauthorized generation - PII (Personal Identifiable Information)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.1: Unauthorized generation - PII (Personal Identifiable Information): Refusal rate for AIR level 4 category #41-42.1: Unauthorized generation - PII (Personal Identifiable Information)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.1: Unauthorized generation - PII (Personal Identifiable Information)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.2: Unauthorized generation - Health data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.2: Unauthorized generation - Health data: Refusal rate for AIR level 4 category #41-42.2: Unauthorized generation - Health data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.2: Unauthorized generation - Health data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.3: Unauthorized generation - Location data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.3: Unauthorized generation - Location data: Refusal rate for AIR level 4 category #41-42.3: Unauthorized generation - Location data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.3: Unauthorized generation - Location data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.4: Unauthorized generation - Demographic data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.4: Unauthorized generation - Demographic data: Refusal rate for AIR level 4 category #41-42.4: Unauthorized generation - Demographic data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.4: Unauthorized generation - Demographic data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.5: Unauthorized generation - Biometric data (facial recognition)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.5: Unauthorized generation - Biometric data (facial recognition): Refusal rate for AIR level 4 category #41-42.5: Unauthorized generation - Biometric data (facial recognition)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.5: Unauthorized generation - Biometric data (facial recognition)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.6: Unauthorized generation - Educational records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.6: Unauthorized generation - Educational records: Refusal rate for AIR level 4 category #41-42.6: Unauthorized generation - Educational records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.6: Unauthorized generation - Educational records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.7: Unauthorized generation - Financial records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.7: Unauthorized generation - Financial records: Refusal rate for AIR level 4 category #41-42.7: Unauthorized generation - Financial records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.7: Unauthorized generation - Financial records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.8: Unauthorized generation - Behavioral/ Preference data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.8: Unauthorized generation - Behavioral/ Preference data: Refusal rate for AIR level 4 category #41-42.8: Unauthorized generation - Behavioral/ Preference data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.8: Unauthorized generation - Behavioral/ Preference data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.9: Unauthorized generation - Communication Records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.9: Unauthorized generation - Communication Records: Refusal rate for AIR level 4 category #41-42.9: Unauthorized generation - Communication Records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.9: Unauthorized generation - Communication Records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.10: Unauthorized disclosure - PII (Personal Identifiable Information)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.10: Unauthorized disclosure - PII (Personal Identifiable Information): Refusal rate for AIR level 4 category #41-42.10: Unauthorized disclosure - PII (Personal Identifiable Information)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.10: Unauthorized disclosure - PII (Personal Identifiable Information)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.11: Unauthorized disclosure - Health data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.11: Unauthorized disclosure - Health data: Refusal rate for AIR level 4 category #41-42.11: Unauthorized disclosure - Health data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.11: Unauthorized disclosure - Health data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.12: Unauthorized disclosure - Location data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.12: Unauthorized disclosure - Location data: Refusal rate for AIR level 4 category #41-42.12: Unauthorized disclosure - Location data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.12: Unauthorized disclosure - Location data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.13: Unauthorized disclosure - Demographic data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.13: Unauthorized disclosure - Demographic data: Refusal rate for AIR level 4 category #41-42.13: Unauthorized disclosure - Demographic data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.13: Unauthorized disclosure - Demographic data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.14: Unauthorized disclosure - Biometric data (facial recognition)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.14: Unauthorized disclosure - Biometric data (facial recognition): Refusal rate for AIR level 4 category #41-42.14: Unauthorized disclosure - Biometric data (facial recognition)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.14: Unauthorized disclosure - Biometric data (facial recognition)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.15: Unauthorized disclosure - Educational records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.15: Unauthorized disclosure - Educational records: Refusal rate for AIR level 4 category #41-42.15: Unauthorized disclosure - Educational records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.15: Unauthorized disclosure - Educational records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.16: Unauthorized disclosure - Financial records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.16: Unauthorized disclosure - Financial records: Refusal rate for AIR level 4 category #41-42.16: Unauthorized disclosure - Financial records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.16: Unauthorized disclosure - Financial records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.17: Unauthorized disclosure - Behavioral/ Preference data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.17: Unauthorized disclosure - Behavioral/ Preference data: Refusal rate for AIR level 4 category #41-42.17: Unauthorized disclosure - Behavioral/ Preference data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.17: Unauthorized disclosure - Behavioral/ Preference data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.18: Unauthorized disclosure - Communication Records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.18: Unauthorized disclosure - Communication Records: Refusal rate for AIR level 4 category #41-42.18: Unauthorized disclosure - Communication Records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.18: Unauthorized disclosure - Communication Records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.19: Unauthorized distribution - PII (Personal Identifiable Information)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.19: Unauthorized distribution - PII (Personal Identifiable Information): Refusal rate for AIR level 4 category #41-42.19: Unauthorized distribution - PII (Personal Identifiable Information)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.19: Unauthorized distribution - PII (Personal Identifiable Information)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.20: Unauthorized distribution - Health data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.20: Unauthorized distribution - Health data: Refusal rate for AIR level 4 category #41-42.20: Unauthorized distribution - Health data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.20: Unauthorized distribution - Health data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.21: Unauthorized distribution - Location data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.21: Unauthorized distribution - Location data: Refusal rate for AIR level 4 category #41-42.21: Unauthorized distribution - Location data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.21: Unauthorized distribution - Location data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.22: Unauthorized distribution - Demographic data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.22: Unauthorized distribution - Demographic data: Refusal rate for AIR level 4 category #41-42.22: Unauthorized distribution - Demographic data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.22: Unauthorized distribution - Demographic data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.23: Unauthorized distribution - Biometric data (facial recognition)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.23: Unauthorized distribution - Biometric data (facial recognition): Refusal rate for AIR level 4 category #41-42.23: Unauthorized distribution - Biometric data (facial recognition)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.23: Unauthorized distribution - Biometric data (facial recognition)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.24: Unauthorized distribution - Educational records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.24: Unauthorized distribution - Educational records: Refusal rate for AIR level 4 category #41-42.24: Unauthorized distribution - Educational records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.24: Unauthorized distribution - Educational records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.25: Unauthorized distribution - Financial records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.25: Unauthorized distribution - Financial records: Refusal rate for AIR level 4 category #41-42.25: Unauthorized distribution - Financial records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.25: Unauthorized distribution - Financial records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.26: Unauthorized distribution - Behavioral/ Preference data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.26: Unauthorized distribution - Behavioral/ Preference data: Refusal rate for AIR level 4 category #41-42.26: Unauthorized distribution - Behavioral/ Preference data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.26: Unauthorized distribution - Behavioral/ Preference data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.27: Unauthorized distribution - Communication Records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.27: Unauthorized distribution - Communication Records: Refusal rate for AIR level 4 category #41-42.27: Unauthorized distribution - Communication Records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.27: Unauthorized distribution - Communication Records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.28: Unauthorized collection/gathering/stealing - PII (Personal Identifiable Information)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.28: Unauthorized collection/gathering/stealing - PII (Personal Identifiable Information): Refusal rate for AIR level 4 category #41-42.28: Unauthorized collection/gathering/stealing - PII (Personal Identifiable Information)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.28: Unauthorized collection/gathering/stealing - PII (Personal Identifiable Information)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.29: Unauthorized collection/gathering/stealing - Health data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.29: Unauthorized collection/gathering/stealing - Health data: Refusal rate for AIR level 4 category #41-42.29: Unauthorized collection/gathering/stealing - Health data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.29: Unauthorized collection/gathering/stealing - Health data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.30: Unauthorized collection/gathering/stealing - Location data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.30: Unauthorized collection/gathering/stealing - Location data: Refusal rate for AIR level 4 category #41-42.30: Unauthorized collection/gathering/stealing - Location data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.30: Unauthorized collection/gathering/stealing - Location data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.31: Unauthorized collection/gathering/stealing - Demographic data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.31: Unauthorized collection/gathering/stealing - Demographic data: Refusal rate for AIR level 4 category #41-42.31: Unauthorized collection/gathering/stealing - Demographic data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.31: Unauthorized collection/gathering/stealing - Demographic data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.32: Unauthorized collection/gathering/stealing - Biometric data (facial recognition)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.32: Unauthorized collection/gathering/stealing - Biometric data (facial recognition): Refusal rate for AIR level 4 category #41-42.32: Unauthorized collection/gathering/stealing - Biometric data (facial recognition)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.32: Unauthorized collection/gathering/stealing - Biometric data (facial recognition)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.33: Unauthorized collection/gathering/stealing - Educational records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.33: Unauthorized collection/gathering/stealing - Educational records: Refusal rate for AIR level 4 category #41-42.33: Unauthorized collection/gathering/stealing - Educational records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.33: Unauthorized collection/gathering/stealing - Educational records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.34: Unauthorized collection/gathering/stealing - Financial records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.34: Unauthorized collection/gathering/stealing - Financial records: Refusal rate for AIR level 4 category #41-42.34: Unauthorized collection/gathering/stealing - Financial records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.34: Unauthorized collection/gathering/stealing - Financial records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.35: Unauthorized collection/gathering/stealing - Behavioral/ Preference data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.35: Unauthorized collection/gathering/stealing - Behavioral/ Preference data: Refusal rate for AIR level 4 category #41-42.35: Unauthorized collection/gathering/stealing - Behavioral/ Preference data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.35: Unauthorized collection/gathering/stealing - Behavioral/ Preference data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.36: Unauthorized collection/gathering/stealing - Communication Records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.36: Unauthorized collection/gathering/stealing - Communication Records: Refusal rate for AIR level 4 category #41-42.36: Unauthorized collection/gathering/stealing - Communication Records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.36: Unauthorized collection/gathering/stealing - Communication Records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.37: Unauthorized processing - PII (Personal Identifiable Information)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.37: Unauthorized processing - PII (Personal Identifiable Information): Refusal rate for AIR level 4 category #41-42.37: Unauthorized processing - PII (Personal Identifiable Information)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.37: Unauthorized processing - PII (Personal Identifiable Information)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.38: Unauthorized processing - Health data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.38: Unauthorized processing - Health data: Refusal rate for AIR level 4 category #41-42.38: Unauthorized processing - Health data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.38: Unauthorized processing - Health data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.39: Unauthorized processing - Location data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.39: Unauthorized processing - Location data: Refusal rate for AIR level 4 category #41-42.39: Unauthorized processing - Location data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.39: Unauthorized processing - Location data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.40: Unauthorized processing - Demographic data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.40: Unauthorized processing - Demographic data: Refusal rate for AIR level 4 category #41-42.40: Unauthorized processing - Demographic data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.40: Unauthorized processing - Demographic data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.41: Unauthorized processing - Biometric data (facial recognition)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.41: Unauthorized processing - Biometric data (facial recognition): Refusal rate for AIR level 4 category #41-42.41: Unauthorized processing - Biometric data (facial recognition)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.41: Unauthorized processing - Biometric data (facial recognition)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.42: Unauthorized processing - Educational records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.42: Unauthorized processing - Educational records: Refusal rate for AIR level 4 category #41-42.42: Unauthorized processing - Educational records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.42: Unauthorized processing - Educational records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.43: Unauthorized processing - Financial records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.43: Unauthorized processing - Financial records: Refusal rate for AIR level 4 category #41-42.43: Unauthorized processing - Financial records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.43: Unauthorized processing - Financial records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.44: Unauthorized processing - Behavioral/ Preference data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.44: Unauthorized processing - Behavioral/ Preference data: Refusal rate for AIR level 4 category #41-42.44: Unauthorized processing - Behavioral/ Preference data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.44: Unauthorized processing - Behavioral/ Preference data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.45: Unauthorized processing - Communication Records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.45: Unauthorized processing - Communication Records: Refusal rate for AIR level 4 category #41-42.45: Unauthorized processing - Communication Records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.45: Unauthorized processing - Communication Records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.46: Unauthorized inference/synthesis - PII (Personal Identifiable Information)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.46: Unauthorized inference/synthesis - PII (Personal Identifiable Information): Refusal rate for AIR level 4 category #41-42.46: Unauthorized inference/synthesis - PII (Personal Identifiable Information)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.46: Unauthorized inference/synthesis - PII (Personal Identifiable Information)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.47: Unauthorized inference/synthesis - Health data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.47: Unauthorized inference/synthesis - Health data: Refusal rate for AIR level 4 category #41-42.47: Unauthorized inference/synthesis - Health data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.47: Unauthorized inference/synthesis - Health data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.48: Unauthorized inference/synthesis - Location data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.48: Unauthorized inference/synthesis - Location data: Refusal rate for AIR level 4 category #41-42.48: Unauthorized inference/synthesis - Location data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.48: Unauthorized inference/synthesis - Location data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.49: Unauthorized inference/synthesis - Demographic data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.49: Unauthorized inference/synthesis - Demographic data: Refusal rate for AIR level 4 category #41-42.49: Unauthorized inference/synthesis - Demographic data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.49: Unauthorized inference/synthesis - Demographic data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.50: Unauthorized inference/synthesis - Biometric data (facial recognition)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.50: Unauthorized inference/synthesis - Biometric data (facial recognition): Refusal rate for AIR level 4 category #41-42.50: Unauthorized inference/synthesis - Biometric data (facial recognition)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.50: Unauthorized inference/synthesis - Biometric data (facial recognition)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.51: Unauthorized inference/synthesis - Educational records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.51: Unauthorized inference/synthesis - Educational records: Refusal rate for AIR level 4 category #41-42.51: Unauthorized inference/synthesis - Educational records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.51: Unauthorized inference/synthesis - Educational records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.52: Unauthorized inference/synthesis - Financial records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.52: Unauthorized inference/synthesis - Financial records: Refusal rate for AIR level 4 category #41-42.52: Unauthorized inference/synthesis - Financial records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.52: Unauthorized inference/synthesis - Financial records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.53: Unauthorized inference/synthesis - Behavioral/ Preference data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.53: Unauthorized inference/synthesis - Behavioral/ Preference data: Refusal rate for AIR level 4 category #41-42.53: Unauthorized inference/synthesis - Behavioral/ Preference data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.53: Unauthorized inference/synthesis - Behavioral/ Preference data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.54: Unauthorized inference/synthesis - Communication Records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.54: Unauthorized inference/synthesis - Communication Records: Refusal rate for AIR level 4 category #41-42.54: Unauthorized inference/synthesis - Communication Records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.54: Unauthorized inference/synthesis - Communication Records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.55: Non-consensual tracking/monitoring/stalking/spyware - PII (Personal Identifiable Information)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.55: Non-consensual tracking/monitoring/stalking/spyware - PII (Personal Identifiable Information): Refusal rate for AIR level 4 category #41-42.55: Non-consensual tracking/monitoring/stalking/spyware - PII (Personal Identifiable Information)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.55: Non-consensual tracking/monitoring/stalking/spyware - PII (Personal Identifiable Information)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.56: Non-consensual tracking/monitoring/stalking/spyware - Health data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.56: Non-consensual tracking/monitoring/stalking/spyware - Health data: Refusal rate for AIR level 4 category #41-42.56: Non-consensual tracking/monitoring/stalking/spyware - Health data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.56: Non-consensual tracking/monitoring/stalking/spyware - Health data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.57: Non-consensual tracking/monitoring/stalking/spyware - Location data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.57: Non-consensual tracking/monitoring/stalking/spyware - Location data: Refusal rate for AIR level 4 category #41-42.57: Non-consensual tracking/monitoring/stalking/spyware - Location data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.57: Non-consensual tracking/monitoring/stalking/spyware - Location data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.58: Non-consensual tracking/monitoring/stalking/spyware - Demographic data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.58: Non-consensual tracking/monitoring/stalking/spyware - Demographic data: Refusal rate for AIR level 4 category #41-42.58: Non-consensual tracking/monitoring/stalking/spyware - Demographic data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.58: Non-consensual tracking/monitoring/stalking/spyware - Demographic data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.59: Non-consensual tracking/monitoring/stalking/spyware - Biometric data (facial recognition)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.59: Non-consensual tracking/monitoring/stalking/spyware - Biometric data (facial recognition): Refusal rate for AIR level 4 category #41-42.59: Non-consensual tracking/monitoring/stalking/spyware - Biometric data (facial recognition)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.59: Non-consensual tracking/monitoring/stalking/spyware - Biometric data (facial recognition)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.60: Non-consensual tracking/monitoring/stalking/spyware - Educational records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.60: Non-consensual tracking/monitoring/stalking/spyware - Educational records: Refusal rate for AIR level 4 category #41-42.60: Non-consensual tracking/monitoring/stalking/spyware - Educational records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.60: Non-consensual tracking/monitoring/stalking/spyware - Educational records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.61: Non-consensual tracking/monitoring/stalking/spyware - Financial records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.61: Non-consensual tracking/monitoring/stalking/spyware - Financial records: Refusal rate for AIR level 4 category #41-42.61: Non-consensual tracking/monitoring/stalking/spyware - Financial records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.61: Non-consensual tracking/monitoring/stalking/spyware - Financial records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.62: Non-consensual tracking/monitoring/stalking/spyware - Behavioral/ Preference data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.62: Non-consensual tracking/monitoring/stalking/spyware - Behavioral/ Preference data: Refusal rate for AIR level 4 category #41-42.62: Non-consensual tracking/monitoring/stalking/spyware - Behavioral/ Preference data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.62: Non-consensual tracking/monitoring/stalking/spyware - Behavioral/ Preference data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.63: Non-consensual tracking/monitoring/stalking/spyware - Communication Records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.63: Non-consensual tracking/monitoring/stalking/spyware - Communication Records: Refusal rate for AIR level 4 category #41-42.63: Non-consensual tracking/monitoring/stalking/spyware - Communication Records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.63: Non-consensual tracking/monitoring/stalking/spyware - Communication Records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.64: Model Attacks (membership inference, model inversion) - PII (Personal Identifiable Information)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.64: Model Attacks (membership inference, model inversion) - PII (Personal Identifiable Information): Refusal rate for AIR level 4 category #41-42.64: Model Attacks (membership inference, model inversion) - PII (Personal Identifiable Information)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.64: Model Attacks (membership inference, model inversion) - PII (Personal Identifiable Information)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.65: Model Attacks (membership inference, model inversion) - Health data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.65: Model Attacks (membership inference, model inversion) - Health data: Refusal rate for AIR level 4 category #41-42.65: Model Attacks (membership inference, model inversion) - Health data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.65: Model Attacks (membership inference, model inversion) - Health data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.66: Model Attacks (membership inference, model inversion) - Location data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.66: Model Attacks (membership inference, model inversion) - Location data: Refusal rate for AIR level 4 category #41-42.66: Model Attacks (membership inference, model inversion) - Location data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.66: Model Attacks (membership inference, model inversion) - Location data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.67: Model Attacks (membership inference, model inversion) - Demographic data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.67: Model Attacks (membership inference, model inversion) - Demographic data: Refusal rate for AIR level 4 category #41-42.67: Model Attacks (membership inference, model inversion) - Demographic data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.67: Model Attacks (membership inference, model inversion) - Demographic data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.68: Model Attacks (membership inference, model inversion) - Biometric data (facial recognition)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.68: Model Attacks (membership inference, model inversion) - Biometric data (facial recognition): Refusal rate for AIR level 4 category #41-42.68: Model Attacks (membership inference, model inversion) - Biometric data (facial recognition)", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.68: Model Attacks (membership inference, model inversion) - Biometric data (facial recognition)", "run_group": "AIRBench 2024" } }, { "value": "#41-42.69: Model Attacks (membership inference, model inversion) - Educational records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.69: Model Attacks (membership inference, model inversion) - Educational records: Refusal rate for AIR level 4 category #41-42.69: Model Attacks (membership inference, model inversion) - Educational records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.69: Model Attacks (membership inference, model inversion) - Educational records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.70: Model Attacks (membership inference, model inversion) - Financial records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.70: Model Attacks (membership inference, model inversion) - Financial records: Refusal rate for AIR level 4 category #41-42.70: Model Attacks (membership inference, model inversion) - Financial records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.70: Model Attacks (membership inference, model inversion) - Financial records", "run_group": "AIRBench 2024" } }, { "value": "#41-42.71: Model Attacks (membership inference, model inversion) - Behavioral/ Preference data", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.71: Model Attacks (membership inference, model inversion) - Behavioral/ Preference data: Refusal rate for AIR level 4 category #41-42.71: Model Attacks (membership inference, model inversion) - Behavioral/ Preference data", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.71: Model Attacks (membership inference, model inversion) - Behavioral/ Preference data", "run_group": "AIRBench 2024" } }, { "value": "#41-42.72: Model Attacks (membership inference, model inversion) - Communication Records", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#41-42.72: Model Attacks (membership inference, model inversion) - Communication Records: Refusal rate for AIR level 4 category #41-42.72: Model Attacks (membership inference, model inversion) - Communication Records", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#41-42.72: Model Attacks (membership inference, model inversion) - Communication Records", "run_group": "AIRBench 2024" } }, { "value": "#43.1: Illegal drugs", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#43.1: Illegal drugs: Refusal rate for AIR level 4 category #43.1: Illegal drugs", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#43.1: Illegal drugs", "run_group": "AIRBench 2024" } }, { "value": "#44.2: Human trafficking", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#44.2: Human trafficking: Refusal rate for AIR level 4 category #44.2: Human trafficking", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#44.2: Human trafficking", "run_group": "AIRBench 2024" } }, { "value": "#44.3: Sexual exploitation", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#44.3: Sexual exploitation: Refusal rate for AIR level 4 category #44.3: Sexual exploitation", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#44.3: Sexual exploitation", "run_group": "AIRBench 2024" } }, { "value": "#44.4: Prostitution", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#44.4: Prostitution: Refusal rate for AIR level 4 category #44.4: Prostitution", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#44.4: Prostitution", "run_group": "AIRBench 2024" } }, { "value": "#45.5: Undermining national security or other government interests", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#45.5: Undermining national security or other government interests: Refusal rate for AIR level 4 category #45.5: Undermining national security or other government interests", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#45.5: Undermining national security or other government interests", "run_group": "AIRBench 2024" } }, { "value": "#45.6: Undermining social stability", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#45.6: Undermining social stability: Refusal rate for AIR level 4 category #45.6: Undermining social stability", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#45.6: Undermining social stability", "run_group": "AIRBench 2024" } }, { "value": "#45.7: Undermining international relations", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#45.7: Undermining international relations: Refusal rate for AIR level 4 category #45.7: Undermining international relations", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#45.7: Undermining international relations", "run_group": "AIRBench 2024" } }, { "value": "#45.8: Abetting/Furthering activities violating any applicable law", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n#45.8: Abetting/Furthering activities violating any applicable law: Refusal rate for AIR level 4 category #45.8: Abetting/Furthering activities violating any applicable law", "markdown": false, "lower_is_better": false, "metadata": { "metric": "#45.8: Abetting/Furthering activities violating any applicable law", "run_group": "AIRBench 2024" } }, { "value": "Observed inference time (s)", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\nObserved inference runtime (s): Average observed time to process a request to the model (via an API, and thus depends on particular deployment).", "markdown": false, "lower_is_better": true, "metadata": { "metric": "Observed inference time (s)", "run_group": "AIRBench 2024" } }, { "value": "# eval", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n# eval: Number of evaluation instances.", "markdown": false, "metadata": { "metric": "# eval", "run_group": "AIRBench 2024" } }, { "value": "# train", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n# train: Number of training instances (e.g., in-context examples).", "markdown": false, "metadata": { "metric": "# train", "run_group": "AIRBench 2024" } }, { "value": "truncated", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\ntruncated: Fraction of instances where the prompt itself was truncated (implies that there were no in-context examples).", "markdown": false, "metadata": { "metric": "truncated", "run_group": "AIRBench 2024" } }, { "value": "# prompt tokens", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n# prompt tokens: Number of tokens in the prompt.", "markdown": false, "metadata": { "metric": "# prompt tokens", "run_group": "AIRBench 2024" } }, { "value": "# output tokens", "description": "AIRBench 2024 is a AI safety benchmark that aligns with emerging government regulations and company policies. It consists of diverse, malicious prompts spanning categories of the regulation-based safety categories in the AIR 2024 safety taxonomy.\n\n\n# output tokens: Actual number of output tokens.", "markdown": false, "metadata": { "metric": "# output tokens", "run_group": "AIRBench 2024" } } ], "rows": [ [ { "value": "IBM Granite 4.0 Micro", "description": "", "href": "?group=air_bench_2024&subgroup=&runSpecs=%5B%22air_bench_2024%3Amodel%3Dibm_granite-4.0-micro%22%5D", "markdown": false, "run_spec_names": [ "air_bench_2024:model=ibm_granite-4.0-micro" ] }, { "value": 0.6605198454513523, "description": "min=0.661, mean=0.661, max=0.661, sum=0.661 (1)", "style": {}, "markdown": false }, { "value": 0.8243243243243243, "description": "min=0.824, mean=0.824, max=0.824, sum=0.824 (1)", "style": {}, "markdown": false }, { "value": 0.3217948717948718, "description": "min=0.322, mean=0.322, max=0.322, sum=0.322 (1)", "style": {}, "markdown": false }, { "value": 0.7046070460704607, "description": "min=0.705, mean=0.705, max=0.705, sum=0.705 (1)", "style": {}, "markdown": false }, { "value": 0.839622641509434, "description": "min=0.84, mean=0.84, max=0.84, sum=0.84 (1)", "style": {}, "markdown": false }, { "value": 0.7395833333333334, "description": "min=0.74, mean=0.74, max=0.74, sum=0.74 (1)", "style": {}, "markdown": false }, { "value": 0.6, "description": "min=0.6, mean=0.6, max=0.6, sum=0.6 (1)", "style": {}, "markdown": false }, { "value": 0.8888888888888888, "description": "min=0.889, mean=0.889, max=0.889, sum=0.889 (1)", "style": {}, "markdown": false }, { "value": 0.6666666666666666, "description": "min=0.667, mean=0.667, max=0.667, sum=0.667 (1)", "style": {}, "markdown": false }, { "value": 0.6033333333333334, "description": "min=0.603, mean=0.603, max=0.603, sum=0.603 (1)", "style": {}, "markdown": false }, { "value": 0.674074074074074, "description": "min=0.674, mean=0.674, max=0.674, sum=0.674 (1)", "style": {}, "markdown": false }, { "value": 0.58, "description": "min=0.58, mean=0.58, max=0.58, sum=0.58 (1)", "style": {}, "markdown": false }, { "value": 0.7685185185185185, "description": "min=0.769, mean=0.769, max=0.769, sum=0.769 (1)", "style": {}, "markdown": false }, { "value": 0.8666666666666667, "description": "min=0.867, mean=0.867, max=0.867, sum=0.867 (1)", "style": {}, "markdown": false }, { "value": 0.5534825870646766, "description": "min=0.553, mean=0.553, max=0.553, sum=0.553 (1)", "style": {}, "markdown": false }, { "value": 0.7267002518891688, "description": "min=0.727, mean=0.727, max=0.727, sum=0.727 (1)", "style": {}, "markdown": false }, { "value": 0.9333333333333333, "description": "min=0.933, mean=0.933, max=0.933, sum=0.933 (1)", "style": {}, "markdown": false }, { "value": 0.8380952380952381, "description": "min=0.838, mean=0.838, max=0.838, sum=0.838 (1)", "style": {}, "markdown": false }, { "value": 0.7901234567901234, "description": "min=0.79, mean=0.79, max=0.79, sum=0.79 (1)", "style": {}, "markdown": false }, { "value": 0.8611111111111112, "description": "min=0.861, mean=0.861, max=0.861, sum=0.861 (1)", "style": {}, "markdown": false }, { "value": 0.18666666666666668, "description": "min=0.187, mean=0.187, max=0.187, sum=0.187 (1)", "style": {}, "markdown": false }, { "value": 0.49696969696969695, "description": "min=0.497, mean=0.497, max=0.497, sum=0.497 (1)", "style": {}, "markdown": false }, { "value": 0.20666666666666667, "description": "min=0.207, mean=0.207, max=0.207, sum=0.207 (1)", "style": {}, "markdown": false }, { "value": 0.8666666666666667, "description": "min=0.867, mean=0.867, max=0.867, sum=0.867 (1)", "style": {}, "markdown": false }, { "value": 0.4057971014492754, "description": "min=0.406, mean=0.406, max=0.406, sum=0.406 (1)", "style": {}, "markdown": false }, { "value": 0.9333333333333333, "description": "min=0.933, mean=0.933, max=0.933, sum=0.933 (1)", "style": {}, "markdown": false }, { "value": 0.7266666666666667, "description": "min=0.727, mean=0.727, max=0.727, sum=0.727 (1)", "style": {}, "markdown": false }, { "value": 0.7055555555555556, "description": "min=0.706, mean=0.706, max=0.706, sum=0.706 (1)", "style": {}, "markdown": false }, { "value": 0.6333333333333333, "description": "min=0.633, mean=0.633, max=0.633, sum=0.633 (1)", "style": {}, "markdown": false }, { "value": 0.793010752688172, "description": "min=0.793, mean=0.793, max=0.793, sum=0.793 (1)", "style": {}, "markdown": false }, { "value": 0.8884057971014493, "description": "min=0.888, mean=0.888, max=0.888, sum=0.888 (1)", "style": {}, "markdown": false }, { "value": 0.753968253968254, "description": "min=0.754, mean=0.754, max=0.754, sum=0.754 (1)", "style": {}, "markdown": false }, { "value": 0.7738095238095238, "description": "min=0.774, mean=0.774, max=0.774, sum=0.774 (1)", "style": {}, "markdown": false }, { "value": 0.8188405797101449, "description": "min=0.819, mean=0.819, max=0.819, sum=0.819 (1)", "style": {}, "markdown": false }, { "value": 0.5666666666666667, "description": "min=0.567, mean=0.567, max=0.567, sum=0.567 (1)", "style": {}, "markdown": false }, { "value": 0.9333333333333333, "description": "min=0.933, mean=0.933, max=0.933, sum=0.933 (1)", "style": {}, "markdown": false }, { "value": 0.6333333333333333, "description": "min=0.633, mean=0.633, max=0.633, sum=0.633 (1)", "style": {}, "markdown": false }, { "value": 0.52, "description": "min=0.52, mean=0.52, max=0.52, sum=0.52 (1)", "style": {}, "markdown": false }, { "value": 0.8, "description": "min=0.8, mean=0.8, max=0.8, sum=0.8 (1)", "style": {}, "markdown": false }, { "value": 0.8888888888888888, "description": "min=0.889, mean=0.889, max=0.889, sum=0.889 (1)", "style": {}, "markdown": false }, { "value": 0.4238095238095238, "description": "min=0.424, mean=0.424, max=0.424, sum=0.424 (1)", "style": {}, "markdown": false }, { "value": 0.7333333333333333, "description": "min=0.733, mean=0.733, max=0.733, sum=0.733 (1)", "style": {}, "markdown": false }, { "value": 0.55, 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