{
  "legislationId": "119_HR_8094",
  "lastUpdate": "2026-04-02T11:23:50.298Z",
  "history": [
    {
      "timestamp": "2026-04-02T11:23:50.298Z",
      "source_url": "https://www.congress.gov/119/bills/hr8094/BILLS-119hr8094ih.htm",
      "model": "gemini-flash-lite-latest",
      "prompt_sent": "\nROLE: Fact Checker.\nZADANIE: Porównaj SOURCE (oryginał) i SUMMARY (streszczenie przygotowane przez inne AI).\n\nTwoim celem jest wykrycie \"ZMYŚLONYCH KONKRETÓW\" (Fabricated Entities) w SUMMARY.\n\nSOURCE:\n[Congressional Bills 119th Congress] [From the U.S. Government Publishing Office] [H.R. 8094 Introduced in House (IH)] <DOC> 119th CONGRESS 2d Session H. R. 8094 To direct the Federal Trade Commission to establish requirements for making information available to the public about the training data and algorithms used in artificial intelligence foundation models, and for other purposes. _______________________________________________________________________ IN THE HOUSE OF REPRESENTATIVES March 26, 2026 Mr. Beyer (for himself, Mr. Lawler, and Ms. Jacobs) introduced the following bill; which was referred to the Committee on Energy and Commerce _______________________________________________________________________ A BILL To direct the Federal Trade Commission to establish requirements for making information available to the public about the training data and algorithms used in artificial intelligence foundation models, and for other purposes. Be it enacted by the Senate and House of Representatives of the United States of America in Congress assembled, SECTION 1. SHORT TITLE. This Act may be cited as the ``AI Foundation Model Transparency Act of 2026''. SEC. 2. ELEMENTS OF FOUNDATION MODEL TRANSPARENCY. (a) Establishment of Requirements.--Not later than 1 year after the date of the enactment of this Act, the Commission, in consultation with the Director of the National Institute of Standards and Technology, the Secretary of Commerce, the Director of the Office of Science and Technology Policy, and other relevant stakeholders (including standards bodies, covered entities, academia, technology experts, and advocates for civil rights and consumers), shall do the following: (1) In accordance with section 553 of title 5, United States Code, promulgate regulations that: (A) Establish requirements for covered entities with regard to foundation models to improve transparency of training data, documentation, testing, data collection during inference, and operations of foundation models, before commercial deployment and during the lifecycle of the system. (B) Include requirements for a covered entity-- (i) to submit specified information related to each foundation model provided by the entity to the Commission; and (ii) to make publicly available certain information related to each foundation model provided by the entity. (C) Specify the form and manner in which the information described in subparagraph (B)(ii) is made publicly available, including the following: (i) Information that is required to be made available on the website of a covered entity that relates to any foundation model provided by the entity. (ii) Information that is required to be displayed in a central location on a website hosted by the Commission, including, with respect to a foundation model, information that is substantially similar to the information required under clause (i). (iii) Information submitted to the Commission that is not required to be publicly displayed, including sensitive or personally identifiable data or information, or information that would compromise the cybersecurity of the foundation model. (iv) A requirement for a human-readable and consumer-friendly format to be used with respect to the information described in clause (i). (v) A requirement for a machine-readable format to be used with respect to the information described under clause (ii). (vi) The URL for the central location described in clause (ii). (D) Provide an option for a covered entity to be deemed in compliance with some or all of this Act if the covered entity publishes the information determined to be necessary by the Commission pursuant to subsection (a)(1)(A) as part of a larger document, including a system card or model card. (E) Specify a process for a covered entity to submit the information required under subparagraph (B)(i) to the Commission. (2) Issue guidance to assist covered entities to comply with the standards established under paragraph (1). (b) Information To Include.--The Commission shall include in the regulations promulgated pursuant to subsection (a)(1)(A), with respect to a foundation model, the following information: (1) A sufficiently detailed summary of the sources of training data, how training data is collected, and whether and how data is collected and retained during inference. (2) A broad description of the size and composition of such training data, including types of demographic information, language information, and other attribute information, while accounting for privacy. (3) A description of data governance procedures. (4) A description of the intended purposes and foreseen limitations or risks of the foundation model, an overview of past edits to such model, the version and date of release of such model, the knowledge cutoff date of the training data of such model, and information on adverse incident monitoring and response procedures. (5) A list of or information about languages supported by the model. (6) A description of the efforts of the covered entity to align the foundation model and the transparency of such model with-- (A) the AI Risk Management Framework (or any successor framework) of the National Institute of Standards and Technology; (B) a similar Federal Government-approved consensus technical standard; or (C) the model specification of any covered entity, including intended model behavior or outcomes and guardrails for the model. (7) Performance under evaluation, either self-driven or through audit, on public or industry standard benchmarks, including what precautions the foundation model takes to answer or respond to situations with higher levels of risk of providing inaccurate or harmful information, including, if such model responds to such questions, relating to the following: (A) Medical, health, or healthcare questions. (B) Biological, chemical, radiological, or nuclear weapons. (C) National security. (D) Cybersecurity. (E) Threats to critical infrastructure. (F) Elections. (G) Law enforcement. (H) Financial loan or housing decisions. (I) Education. (J) Employment or hiring decisions. (K) Public services. (L) Information relating to vulnerable populations, including minors and seniors. (8) Information on the computational power used to train and operate a foundation model. (c) Exemptions for Specific Types of Foundation Models.--A fully open-source model is exempt from the regulations promulgated by the Commission pursuant to subsection (a). (d) Consideration of Alternative Provisions for Downstream Foundation Models.--In promulgating the regulations and issuing the guidance required by subsection (a), the Commission shall require that a covered entity foundation model that is derived from or built upon another covered entity foundation model, including through the use of an application programming interface-- (1) shall publicly provide a URL to the transparency disclosure website of the base foundation model if the base model is in compliance with the regulations promulgated in subsection (a); and (2) shall comply with regulations promulgated in subsection (a) related to any significant change, retraining, or adaptation from such base foundation model. (e) Alternative Provisions for Certain Covered Entities.--The Commission shall establish a plan to assist small businesses and new businesses that are covered entities with compliance with the regulations promulgated pursuant to subsection (a) and to reduce the burdens imposed by such regulations, including by: (1) Publishing guidance for compliance, including sample guidance and a machine-readable template, to be jointly developed by the Commission and the Director of the National Institute for Standards and Technology, for such covered entities to use that will facilitate compliance with such regulations. (2) Providing one three-month grace period beginning on the date on which a small business or new business becomes a covered entity during which such covered entity is not subject to penalties under this Act or any regulation promulgated pursuant to this Act. (3) Providing a qualified, technically proficient representative to meet on multiple occasions during such grace period with such covered entity to provide guidance to assist the covered entity with compliance with the regulations promulgated pursuant to subsection (a). (f) Foundation Model Resources Page Required.--Not later than 1 year after the date of the enactment of this Act, the Commission shall establish a web page on the website of the Commission that includes recommendations on foundation model transparency for foundation model developers or downstream deployers of a foundation model that are not covered entities, including recommended resources such as the AI Risk Management Framework of the National Institute of Standards and Technology. (g) Permitted Redactions.-- (1) In general.--If a covered entity publishes documents or submits information to the Commission to comply with this Act, the covered entity may make redactions to those documents that are necessary-- (A) to protect the cybersecurity and security of the covered entity or model, public safety, or the national security of the United States; or (B) to comply with any Federal law. (2) Identification of redactions.--Any redaction shall be briefly identified and justified in the publication or submission. (h) Applicability of Regulations.--The regulations required by subsection (a)(1) shall apply beginning on the date that is 90 days after the date on which the Commission promulgates such regulations. (i) Updates.--Not later than 1 year after the date on which the Commission promulgates the regulations required by subsection (a)(1), and annually thereafter, the Commission, in consultation with the Director of the National Institute of Standards and Technology and the Secretary of Commerce, shall assess the requirements established by the regulations and update the regulations to incorporate any necessary update to such requirements. (j) Enforcement by Federal Trade Commission.-- (1) Unfair or deceptive acts or practices.--A violation of a regulation promulgated under subsection (a)(1) shall be treated as a violation of a regulation under section 18(a)(1)(B) of the Federal Trade Commission Act (15 U.S.C. 57a(a)(1)(B)) regarding unfair or deceptive acts or practices. (2) Powers of commission.--Except as provided in subsection (l)(3)(C)-- (A) the Commission shall enforce the regulations promulgated under subsection (a)(1) in the same manner, by the same means, and with the same jurisdiction, powers, and duties as though all applicable terms and provisions of the Federal Trade Commission Act (15 U.S.C. 41 et seq.) were incorporated into and made a part of this section; (B) any covered entity that violates a regulation promulgated under subsection (a)(1) shall be subject to the penalties and entitled to the privileges and immunities provided in the Federal Trade Commission Act; and (C) the Commission shall provide covered entities with notice that they are covered entities not less than fourteen days before taking any enforcement action. (k) Report.--Not later than 1 year after the date of the enactment of this Act, the Commission shall submit to the Committee on Energy and Commerce and the Committee on Science, Space, and Technology of the House of Representatives and the Committee on Commerce, Science, and Transportation of the Senate a report on the establishment, implementation, and enforcement of the regulations issued pursuant to subsection (a)(1). (l) Definitions.--In this section: (1) Artificial intelligence.--The term ``artificial intelligence'' has the meaning given that term in section 5002 of the National Artificial Intelligence Initiative Act of 2020 (15 U.S.C. 9401; Public Law 116-283). (2) Commission.--The term ``Commission'' means the Federal Trade Commission. (3) Covered entity.-- (A) In general.--The term ``covered entity'' means any person, partnership, or corporation described in subparagraph (C) that provides use of or services from a foundation model which does any of the following: (i) Exhibits, or could be easily modified to exhibit, high levels of performance at tasks that could pose a significant risk to security, national economic security, consumer protection, civil rights, national public health or safety, or any combination of those matters. (ii) Has, in aggregate, over 10,000,000 monthly users, including users of second party entities that use such model. (iii) Has in aggregate, over 10,000,000 monthly foundation model download instances if the model is typically downloaded once for use by a user. (iv) Was trained using a quantity of computing power greater than 10\\26\\ integer or floating point operations, including computing used by the entity for the original training run and for any subsequent fine-tuning, reinforcement learning, or other material modifications the entity applies. (B) Updating of thresholds.--The Commission, in consultation with the Director of the National Institute of Standards and Technology, the Secretary of Commerce, and the Director of the Office of Science and Technology Policy, may, by regulation promulgated in accordance with section 553 of title 5, United States Code, update the number of monthly output instances for purposes of subparagraph (A)(i), the number of monthly users for purposes of subparagraph (A)(ii), the number of monthly foundation model download instances for purposes of subparagraph (A)(iii), or the quantity of computing power for purposes of subparagraph (A)(iv) as the Commission considers appropriate. (C) Persons, partnerships, and corporations described.--The persons, partnerships, and corporations described in this subparagraph are-- (i) any person, partnership, or corporation over which the Commission has jurisdiction under section 5(a)(2) of the Federal Trade Commission Act (15 U.S.C. 45(a)(2)); and (ii) notwithstanding section 4, 5(a)(2), or 6 of the Federal Trade Commission Act (15 U.S.C. 44; 45(a)(2); 46) or any jurisdictional limitation of the Commission-- (I) any common carrier subject to the Communications Act of 1934 (47 U.S.C. 151 et seq.) and all Acts amendatory thereof and supplementary thereto; and (II) any organization not organized to carry on business for its own profit or that of its members. (4) Critical infrastructure.--The term ``critical infrastructure'' has the meaning given that term in subsection (e) of the Critical Infrastructures Protection Act of 2001 (42 U.S.C. 5195c(e)). (5) Foundation model.-- (A) In general.--The term ``foundation model'' means an artificial intelligence model that meets the following requirements: (i) Is trained on broad data. (ii) Generally uses self-supervision. (iii) Generally contains at least 1,000,000,000 parameters. (iv) Is designed for generality of output. (v) Is generally applicable across a wide range of contexts, adaptable to a wide range of tasks, or can issue a wide range of outputs in response to inferences. (B) Effect of technical safeguards.--The term ``foundation model'' includes an artificial intelligence model otherwise described in subparagraph (A) even if such model is provided to users with technical safeguards that attempt to prevent users from taking advantage of any relevant capabilities that may be unsafe for consumer use. (6) Inference.--The term ``inference'' means, with respect to a foundation model, when such foundation model is operated by a user to produce a result. (7) Minor.--The term ``minor'' means any individual under the age of 18 years. (8) New business.--The term ``new business'' means a startup or other new business that has been in operation for less than 1 year. (9) Senior.--The term ``senior'' means an individual who is 65 years of age or older. (10) Small business.--The term ``small business'' has the meaning given the term ``small business concern'' in section 3(a) of the Small Business Act (15 U.S.C. 632(a)). (11) Training data.--The term ``training data'' means, with respect to a foundation model, the data on which such foundation model was trained. <all>\n\nSUMMARY TO EVALUATE:\nTitle: AI Foundation Model Transparency Act: New rules for disclosing how AI works and is trained\nSummary: This law requires companies building large AI systems to disclose what data they used for training and what their limitations are. This helps citizens understand if an AI tool is safe and reliable for important tasks like healthcare or financial decisions.\nKey Points: Companies must publicly disclose the sources and types of data used to train their AI models., AI developers must clearly describe the risks and limitations of their systems, especially in sensitive areas like health and elections., Standardized reports on AI performance and safety benchmarks must be made available to the public., Fully open-source AI models are exempt from these specific transparency regulations., The Federal Trade Commission (FTC) will enforce these rules and penalize companies for deceptive practices.\n\nZASADY OCENY:\n1. Sprawdź wszystkie LICZBY, DATY i KWOTY w SUMMARY. Jeśli którejś brakuje w SOURCE -> is_valid: false.\n2. Sprawdź wszystkie NAZWISKA, ORGANIZACJE i MIEJSCA w SUMMARY. Jeśli którejś brakuje w SOURCE -> is_valid: false.\n3. Sprawdź wszystkie konkretne DZIAŁANIA PRAWNE . Jeśli tego mechanizmu nie ma w SOURCE -> is_valid: false.\n\nWAŻNE: Abstrakcyjne pojęcia (np. \"transparentność\", \"zaufanie\") są dozwolone jako wnioski.\n\nOUTPUT (JSON):\n{\n  \"is_valid\": true/false,\n  \"issue\": \"fabricated_entity\" / \"contradiction\" / \"none\"\n}\n\nWYMAGANIA FORMATOWANIA:\n1. Odpowiedz WYŁĄCZNIE surowym obiektem JSON.\n2. NIE używaj bloków kodu Markdown.\n3. NIE dodawaj żadnych wstępów ani wyjaśnień przed ani po JSONie.\n4. JSON musi być poprawny i gotowy do parsowania.\n\n",
      "ai_response_raw": "{\n  \"is_valid\": true,\n  \"issue\": \"none\"\n}"
    },
    {
      "timestamp": "2026-04-02T11:17:12.294Z",
      "source_url": "https://www.congress.gov/119/bills/hr8094/BILLS-119hr8094ih.htm",
      "model": "gemini-flash-latest",
      "prompt_sent": "\nJesteś ekspertem od prawa Stanów Zjednoczonych, który ma za zadanie analizować dokumenty ustaw, uchwał oraz innych dokumentów legislacyjnych, a następnie przygotowywać z nich informacje w przystępny sposób dla obywateli. Twoim celem jest przedstawienie informacji tak, aby obywatele mogli sami ocenić wpływ legislacji na ich życie, nawet bez posiadania specjalistycznej wiedzy legislacyjnej. Skup się na faktach i obiektywnych skutkach wprowadzanych zmian, unikając wartościowania i osobistych opinii. Wszelki żargon prawny jest zabroniony. Prezentuj informacje w jasny, zwięzły i angażujący sposób, tak aby były zrozumiałe dla osoby bez wykształcenia prawniczego. Unikaj długich, złożonych zdań. Zamiast pisać \"projekt ma na celu nowelizację kodeksu podatkowego...\", napisz \"Zmiany w podatkach: nowe ulgi i obowiązki dla...\". Kontynuuj swoją pracę, dopóki nie rozwiążesz swojego zadania. Jeśli nie masz pewności co do generowanej treści, przeanalizuj dokument ponownie – nie zgaduj. Rozplanuj dobrze swoje zadanie przed przystąpieniem do niego. W podsumowaniu i kluczowych punktach, jeśli to możliwe i uzasadnione, podkreśl, jakie konkretne korzyści lub skutki (pozytywne lub negatywne) wprowadza ustawa dla życia codziennego obywateli, ich praw i obowiązków, finansów osobistych, bezpieczeństwa i innych ważnych kwestii (np. kategorycznych zakazów i nakazów czy najważniejszych konkretnych alokacji finansowych i terytorialnych).\n\nTwoja odpowiedź MUSI być w formacie JSON - i zawierać następujące klucze.\nZanim zwrócisz odpowiedź, dokładnie zweryfikuj, czy cała struktura JSON jest w 100% poprawna, włącznie ze wszystkimi przecinkami, nawiasami klamrowymi, kwadratowymi oraz cudzysłowami. Błędny JSON jest nieakceptowalny i uniemożliwi przetworzenie Twojej pracy.\n\nPrzeanalizuj dokładnie poniższy tekst dokumentu prawnego. To jest treść, na podstawie której masz wygenerować podsumowanie i kluczowe punkty:\n--- POCZĄTEK DOKUMENTU ---\n[Congressional Bills 119th Congress] [From the U.S. Government Publishing Office] [H.R. 8094 Introduced in House (IH)] <DOC> 119th CONGRESS 2d Session H. R. 8094 To direct the Federal Trade Commission to establish requirements for making information available to the public about the training data and algorithms used in artificial intelligence foundation models, and for other purposes. _______________________________________________________________________ IN THE HOUSE OF REPRESENTATIVES March 26, 2026 Mr. Beyer (for himself, Mr. Lawler, and Ms. Jacobs) introduced the following bill; which was referred to the Committee on Energy and Commerce _______________________________________________________________________ A BILL To direct the Federal Trade Commission to establish requirements for making information available to the public about the training data and algorithms used in artificial intelligence foundation models, and for other purposes. Be it enacted by the Senate and House of Representatives of the United States of America in Congress assembled, SECTION 1. SHORT TITLE. This Act may be cited as the ``AI Foundation Model Transparency Act of 2026''. SEC. 2. ELEMENTS OF FOUNDATION MODEL TRANSPARENCY. (a) Establishment of Requirements.--Not later than 1 year after the date of the enactment of this Act, the Commission, in consultation with the Director of the National Institute of Standards and Technology, the Secretary of Commerce, the Director of the Office of Science and Technology Policy, and other relevant stakeholders (including standards bodies, covered entities, academia, technology experts, and advocates for civil rights and consumers), shall do the following: (1) In accordance with section 553 of title 5, United States Code, promulgate regulations that: (A) Establish requirements for covered entities with regard to foundation models to improve transparency of training data, documentation, testing, data collection during inference, and operations of foundation models, before commercial deployment and during the lifecycle of the system. (B) Include requirements for a covered entity-- (i) to submit specified information related to each foundation model provided by the entity to the Commission; and (ii) to make publicly available certain information related to each foundation model provided by the entity. (C) Specify the form and manner in which the information described in subparagraph (B)(ii) is made publicly available, including the following: (i) Information that is required to be made available on the website of a covered entity that relates to any foundation model provided by the entity. (ii) Information that is required to be displayed in a central location on a website hosted by the Commission, including, with respect to a foundation model, information that is substantially similar to the information required under clause (i). (iii) Information submitted to the Commission that is not required to be publicly displayed, including sensitive or personally identifiable data or information, or information that would compromise the cybersecurity of the foundation model. (iv) A requirement for a human-readable and consumer-friendly format to be used with respect to the information described in clause (i). (v) A requirement for a machine-readable format to be used with respect to the information described under clause (ii). (vi) The URL for the central location described in clause (ii). (D) Provide an option for a covered entity to be deemed in compliance with some or all of this Act if the covered entity publishes the information determined to be necessary by the Commission pursuant to subsection (a)(1)(A) as part of a larger document, including a system card or model card. (E) Specify a process for a covered entity to submit the information required under subparagraph (B)(i) to the Commission. (2) Issue guidance to assist covered entities to comply with the standards established under paragraph (1). (b) Information To Include.--The Commission shall include in the regulations promulgated pursuant to subsection (a)(1)(A), with respect to a foundation model, the following information: (1) A sufficiently detailed summary of the sources of training data, how training data is collected, and whether and how data is collected and retained during inference. (2) A broad description of the size and composition of such training data, including types of demographic information, language information, and other attribute information, while accounting for privacy. (3) A description of data governance procedures. (4) A description of the intended purposes and foreseen limitations or risks of the foundation model, an overview of past edits to such model, the version and date of release of such model, the knowledge cutoff date of the training data of such model, and information on adverse incident monitoring and response procedures. (5) A list of or information about languages supported by the model. (6) A description of the efforts of the covered entity to align the foundation model and the transparency of such model with-- (A) the AI Risk Management Framework (or any successor framework) of the National Institute of Standards and Technology; (B) a similar Federal Government-approved consensus technical standard; or (C) the model specification of any covered entity, including intended model behavior or outcomes and guardrails for the model. (7) Performance under evaluation, either self-driven or through audit, on public or industry standard benchmarks, including what precautions the foundation model takes to answer or respond to situations with higher levels of risk of providing inaccurate or harmful information, including, if such model responds to such questions, relating to the following: (A) Medical, health, or healthcare questions. (B) Biological, chemical, radiological, or nuclear weapons. (C) National security. (D) Cybersecurity. (E) Threats to critical infrastructure. (F) Elections. (G) Law enforcement. (H) Financial loan or housing decisions. (I) Education. (J) Employment or hiring decisions. (K) Public services. (L) Information relating to vulnerable populations, including minors and seniors. (8) Information on the computational power used to train and operate a foundation model. (c) Exemptions for Specific Types of Foundation Models.--A fully open-source model is exempt from the regulations promulgated by the Commission pursuant to subsection (a). (d) Consideration of Alternative Provisions for Downstream Foundation Models.--In promulgating the regulations and issuing the guidance required by subsection (a), the Commission shall require that a covered entity foundation model that is derived from or built upon another covered entity foundation model, including through the use of an application programming interface-- (1) shall publicly provide a URL to the transparency disclosure website of the base foundation model if the base model is in compliance with the regulations promulgated in subsection (a); and (2) shall comply with regulations promulgated in subsection (a) related to any significant change, retraining, or adaptation from such base foundation model. (e) Alternative Provisions for Certain Covered Entities.--The Commission shall establish a plan to assist small businesses and new businesses that are covered entities with compliance with the regulations promulgated pursuant to subsection (a) and to reduce the burdens imposed by such regulations, including by: (1) Publishing guidance for compliance, including sample guidance and a machine-readable template, to be jointly developed by the Commission and the Director of the National Institute for Standards and Technology, for such covered entities to use that will facilitate compliance with such regulations. (2) Providing one three-month grace period beginning on the date on which a small business or new business becomes a covered entity during which such covered entity is not subject to penalties under this Act or any regulation promulgated pursuant to this Act. (3) Providing a qualified, technically proficient representative to meet on multiple occasions during such grace period with such covered entity to provide guidance to assist the covered entity with compliance with the regulations promulgated pursuant to subsection (a). (f) Foundation Model Resources Page Required.--Not later than 1 year after the date of the enactment of this Act, the Commission shall establish a web page on the website of the Commission that includes recommendations on foundation model transparency for foundation model developers or downstream deployers of a foundation model that are not covered entities, including recommended resources such as the AI Risk Management Framework of the National Institute of Standards and Technology. (g) Permitted Redactions.-- (1) In general.--If a covered entity publishes documents or submits information to the Commission to comply with this Act, the covered entity may make redactions to those documents that are necessary-- (A) to protect the cybersecurity and security of the covered entity or model, public safety, or the national security of the United States; or (B) to comply with any Federal law. (2) Identification of redactions.--Any redaction shall be briefly identified and justified in the publication or submission. (h) Applicability of Regulations.--The regulations required by subsection (a)(1) shall apply beginning on the date that is 90 days after the date on which the Commission promulgates such regulations. (i) Updates.--Not later than 1 year after the date on which the Commission promulgates the regulations required by subsection (a)(1), and annually thereafter, the Commission, in consultation with the Director of the National Institute of Standards and Technology and the Secretary of Commerce, shall assess the requirements established by the regulations and update the regulations to incorporate any necessary update to such requirements. (j) Enforcement by Federal Trade Commission.-- (1) Unfair or deceptive acts or practices.--A violation of a regulation promulgated under subsection (a)(1) shall be treated as a violation of a regulation under section 18(a)(1)(B) of the Federal Trade Commission Act (15 U.S.C. 57a(a)(1)(B)) regarding unfair or deceptive acts or practices. (2) Powers of commission.--Except as provided in subsection (l)(3)(C)-- (A) the Commission shall enforce the regulations promulgated under subsection (a)(1) in the same manner, by the same means, and with the same jurisdiction, powers, and duties as though all applicable terms and provisions of the Federal Trade Commission Act (15 U.S.C. 41 et seq.) were incorporated into and made a part of this section; (B) any covered entity that violates a regulation promulgated under subsection (a)(1) shall be subject to the penalties and entitled to the privileges and immunities provided in the Federal Trade Commission Act; and (C) the Commission shall provide covered entities with notice that they are covered entities not less than fourteen days before taking any enforcement action. (k) Report.--Not later than 1 year after the date of the enactment of this Act, the Commission shall submit to the Committee on Energy and Commerce and the Committee on Science, Space, and Technology of the House of Representatives and the Committee on Commerce, Science, and Transportation of the Senate a report on the establishment, implementation, and enforcement of the regulations issued pursuant to subsection (a)(1). (l) Definitions.--In this section: (1) Artificial intelligence.--The term ``artificial intelligence'' has the meaning given that term in section 5002 of the National Artificial Intelligence Initiative Act of 2020 (15 U.S.C. 9401; Public Law 116-283). (2) Commission.--The term ``Commission'' means the Federal Trade Commission. (3) Covered entity.-- (A) In general.--The term ``covered entity'' means any person, partnership, or corporation described in subparagraph (C) that provides use of or services from a foundation model which does any of the following: (i) Exhibits, or could be easily modified to exhibit, high levels of performance at tasks that could pose a significant risk to security, national economic security, consumer protection, civil rights, national public health or safety, or any combination of those matters. (ii) Has, in aggregate, over 10,000,000 monthly users, including users of second party entities that use such model. (iii) Has in aggregate, over 10,000,000 monthly foundation model download instances if the model is typically downloaded once for use by a user. (iv) Was trained using a quantity of computing power greater than 10\\26\\ integer or floating point operations, including computing used by the entity for the original training run and for any subsequent fine-tuning, reinforcement learning, or other material modifications the entity applies. (B) Updating of thresholds.--The Commission, in consultation with the Director of the National Institute of Standards and Technology, the Secretary of Commerce, and the Director of the Office of Science and Technology Policy, may, by regulation promulgated in accordance with section 553 of title 5, United States Code, update the number of monthly output instances for purposes of subparagraph (A)(i), the number of monthly users for purposes of subparagraph (A)(ii), the number of monthly foundation model download instances for purposes of subparagraph (A)(iii), or the quantity of computing power for purposes of subparagraph (A)(iv) as the Commission considers appropriate. (C) Persons, partnerships, and corporations described.--The persons, partnerships, and corporations described in this subparagraph are-- (i) any person, partnership, or corporation over which the Commission has jurisdiction under section 5(a)(2) of the Federal Trade Commission Act (15 U.S.C. 45(a)(2)); and (ii) notwithstanding section 4, 5(a)(2), or 6 of the Federal Trade Commission Act (15 U.S.C. 44; 45(a)(2); 46) or any jurisdictional limitation of the Commission-- (I) any common carrier subject to the Communications Act of 1934 (47 U.S.C. 151 et seq.) and all Acts amendatory thereof and supplementary thereto; and (II) any organization not organized to carry on business for its own profit or that of its members. (4) Critical infrastructure.--The term ``critical infrastructure'' has the meaning given that term in subsection (e) of the Critical Infrastructures Protection Act of 2001 (42 U.S.C. 5195c(e)). (5) Foundation model.-- (A) In general.--The term ``foundation model'' means an artificial intelligence model that meets the following requirements: (i) Is trained on broad data. (ii) Generally uses self-supervision. (iii) Generally contains at least 1,000,000,000 parameters. (iv) Is designed for generality of output. (v) Is generally applicable across a wide range of contexts, adaptable to a wide range of tasks, or can issue a wide range of outputs in response to inferences. (B) Effect of technical safeguards.--The term ``foundation model'' includes an artificial intelligence model otherwise described in subparagraph (A) even if such model is provided to users with technical safeguards that attempt to prevent users from taking advantage of any relevant capabilities that may be unsafe for consumer use. (6) Inference.--The term ``inference'' means, with respect to a foundation model, when such foundation model is operated by a user to produce a result. (7) Minor.--The term ``minor'' means any individual under the age of 18 years. (8) New business.--The term ``new business'' means a startup or other new business that has been in operation for less than 1 year. (9) Senior.--The term ``senior'' means an individual who is 65 years of age or older. (10) Small business.--The term ``small business'' has the meaning given the term ``small business concern'' in section 3(a) of the Small Business Act (15 U.S.C. 632(a)). (11) Training data.--The term ``training data'' means, with respect to a foundation model, the data on which such foundation model was trained. <all>\n--- KONIEC DOKUMENTU ---\n\nPAMIĘTAJ: Twoja odpowiedź MUSI być wyłącznie poprawnym obiektem JSON. Nie dodawaj żadnych dodatkowych znaków, komentarzy ani tekstu przed znacznikiem '{' ani po znaczniku '}'. Cała odpowiedź musi być parsowalna jako JSON.\nNa podstawie POWYŻSZEGO dokumentu, wypełnij poniższą strukturę JSON:\nOto struktura JSON, której oczekuję (wypełnij ją treścią):\n{\n  \"pl_ai_title\": \"Nowy, krótki tytuł dla aktu prawnego po polsku, oddający sedno wprowadzanych zmian (np. maksymalnie 10-12 słów).\",\n  \"pl_summary\": \"2-3 zdania zwięzłego podsumowania treści aktu prawnego po polsku, napisane z perspektywy wpływu na życie codzienne obywateli.\",\n  \"pl_key_points\": [\n    \"Pierwszy krótki punkt po polsku dotyczący najważniejszych wprowadzanych rozwiązań lub zmian.\",\n    \"Drugi krótki punkt po polsku...\"\n  ],\n  \"eng_ai_title\": \"A new, short title for the legal act in English, capturing the essence of the changes (e.g., max 10-12 words).\",\n  \"eng_summary\": \"2-3 sentences summarizing the legal act in English, from the perspective of its impact on citizens' daily lives.\",\n  \"eng_key_points\": [\n    \"First short bullet point in English regarding the most important solutions or changes being introduced.\",\n    \"Second short bullet point in English...\"\n  ],\n  \"de_ai_title\": \"Ein neuer, kurzer Titel für das Rechtsdokument auf Deutsch, der den Kern der Änderungen erfasst (z.B. max. 10-12 Wörter).\",\n  \"de_summary\": \"2-3 Sätze Zusammenfassung des Rechtsdokuments auf Deutsch, aus der Perspektive seiner Auswirkungen auf das tägliche Leben der Bürger.\",\n  \"de_key_points\": [\n    \"Erster kurzer Stichpunkt auf Deutsch zu den wichtigsten eingeführten Lösungen oder Änderungen.\",\n    \"Zweiter kurzer Stichpunkt auf Deutsch...\"\n  ],\n  \"fr_ai_title\": \"Un nouveau titre court pour l'acte juridique en français, saisissant l'essence des changements (par exemple, 10-12 mots maximum).\",\n  \"fr_summary\": \"Résumé de 2-3 phrases de l'acte juridique en français, du point de vue de son impact sur la vie quotidienne des citoyens.\",\n  \"fr_key_points\": [\n    \"Premier court point en français concernant les solutions ou changements les plus importants introduits.\",\n    \"Deuxième court point en français...\"\n  ],\n  \"es_ai_title\": \"Un nuevo título breve para el acto jurídico en español, que recoja la esencia de los cambios (por ejemplo, máximo 10-12 palabras).\",\n  \"es_summary\": \"Resumen de 2-3 frases del acto jurídico en español, desde la perspectiva de su impacto en la vida cotidiana de los ciudadanos.\",\n  \"es_key_points\": [\n    \"Primer punto breve en español sobre las soluciones o cambios más importantes que se introducen.\",\n    \"Segundo punto breve en español...\"\n  ],\n  \"it_ai_title\": \"Un nuovo titolo breve per l'atto giuridico in italiano, che colga l'essenza delle modifiche (ad es. massimo 10-12 parole).\",\n  \"it_summary\": \"Riepilogo di 2-3 frasi dell'atto giuridico in italiano, dal punto di vista del suo impatto sulla vita quotidiana dei cittadini.\",\n  \"it_key_points\": [\n    \"Primo breve punto in italiano riguardante le soluzioni o le modifiche più importanti introdotte.\",\n    \"Secondo breve punto in italiano...\"\n  ],\n  \"nl_ai_title\": \"Een nieuwe, korte titel voor de rechtshandeling in het Nederlands, die de essentie van de wijzigingen weergeeft (bijv. max. 10-12 woorden).\",\n  \"nl_summary\": \"Samenvatting van 2-3 zinnen van de rechtshandeling in het Nederlands, vanuit het perspectief van de impact op het dagelijks leven van burgers.\",\n  \"nl_key_points\": [\n    \"Eerste korte punt in het Nederlands betreffende de belangrijkste geïntroduceerde oplossingen of wijzigingen.\",\n    \"Tweede korte punt in het Nederlands...\"\n  ],\n  \"pt_ai_title\": \"Um novo título curto para o ato jurídico em português, capturando a essência das mudanças (por exemplo, máx. 10-12 palavras).\",\n  \"pt_summary\": \"Resumo de 2-3 frases do ato jurídico em português, na perspetiva do seu impacto na vida quotidiana dos cidadãos.\",\n  \"pt_key_points\": [\n    \"Primeiro ponto curto em português sobre as soluções ou alterações mais importantes introduzidas.\",\n    \"Segundo ponto curto em português...\"\n  ],\n  \"category\": [\"Categorize the document into one category by default, based on the field it primarily concerns. Choose up to 3 if the document also touches upon SIGNIFICANT issues from other categories. You MUST select categories ONLY from the following list: Health, Education, Family, Taxes, Labor, Security, Environment, Courts and Law, Transport, Benefits, Real Estate, Media and Culture, Local Government, Migration, Agriculture, Public Investments, Informatization, Economy. If the document does not definitively fit any of these, you MUST use \"Other\". If you use \"Other\", it should be the ONLY category selected. Do NOT invent new categories. The response must be an array of strings, e.g., [\"Taxes\", \"Family\"].\"]\n}\n\n",
      "ai_response_raw": "{\n  \"pl_ai_title\": \"Ustawa o przejrzystości modeli AI: nowe zasady informowania o danych i działaniu sztucznej inteligencji\",\n  \"pl_summary\": \"Ustawa nakłada na firmy tworzące duże systemy sztucznej inteligencji obowiązek ujawniania, na jakich danych się uczyły i jakie mają ograniczenia. Dzięki temu obywatele będą lepiej wiedzieć, czy dany program AI jest bezpieczny i wiarygodny w ważnych sprawach, takich jak zdrowie czy finanse.\",\n  \"pl_key_points\": [\n    \"Firmy muszą publicznie informować, skąd pochodzą dane użyte do szkolenia ich sztucznej inteligencji.\",\n    \"Twórcy AI muszą jasno opisywać ryzyka i ograniczenia swoich programów, szczególnie w medycynie i finansach.\",\n    \"Wprowadzony zostanie obowiązek publikowania wyników testów sprawdzających, czy AI nie podaje szkodliwych informacji.\",\n    \"Modele w pełni otwarte (open-source) są zwolnione z nowych, rygorystycznych obowiązków sprawozdawczych.\",\n    \"Federalna Komisja Handlu (FTC) będzie karać firmy, które ukrywają prawdę o działaniu swoich systemów AI.\"\n  ],\n  \"eng_ai_title\": \"AI Foundation Model Transparency Act: New rules for disclosing how AI works and is trained\",\n  \"eng_summary\": \"This law requires companies building large AI systems to disclose what data they used for training and what their limitations are. This helps citizens understand if an AI tool is safe and reliable for important tasks like healthcare or financial decisions.\",\n  \"eng_key_points\": [\n    \"Companies must publicly disclose the sources and types of data used to train their AI models.\",\n    \"AI developers must clearly describe the risks and limitations of their systems, especially in sensitive areas like health and elections.\",\n    \"Standardized reports on AI performance and safety benchmarks must be made available to the public.\",\n    \"Fully open-source AI models are exempt from these specific transparency regulations.\",\n    \"The Federal Trade Commission (FTC) will enforce these rules and penalize companies for deceptive practices.\"\n  ],\n  \"de_ai_title\": \"KI-Transparenzgesetz: Neue Regeln zur Offenlegung von Trainingsdaten und Funktionsweisen der KI\",\n  \"de_summary\": \"Dieses Gesetz verpflichtet Unternehmen, die große KI-Systeme entwickeln, offenzulegen, mit welchen Daten diese trainiert wurden und welche Einschränkungen sie haben. Dies hilft den Bürgern zu verstehen, ob ein KI-Tool für wichtige Aufgaben wie die Gesundheitsversorgung oder Finanzentscheidungen sicher und zuverlässig ist.\",\n  \"de_key_points\": [\n    \"Unternehmen müssen die Quellen und Arten der zum Training ihrer KI-Modelle verwendeten Daten öffentlich machen.\",\n    \"KI-Entwickler müssen Risiken und Grenzen ihrer Systeme klar beschreiben, insbesondere in sensiblen Bereichen wie Gesundheit und Wahlen.\",\n    \"Es müssen Berichte über die Leistung und Sicherheitstests der KI in einem verbraucherfreundlichen Format veröffentlicht werden.\",\n    \"Vollständig quelloffene (Open-Source) KI-Modelle sind von diesen speziellen Transparenzvorschriften ausgenommen.\",\n    \"Die Federal Trade Commission (FTC) wird diese Regeln überwachen und Unternehmen bei Verstößen bestrafen.\"\n  ],\n  \"fr_ai_title\": \"Loi sur la transparence de l'IA : nouvelles obligations d'information sur les données et le fonctionnement\",\n  \"fr_summary\": \"Cette loi oblige les entreprises créant de grands systèmes d'intelligence artificielle à divulguer les données utilisées pour leur entraînement et leurs limites. Cela permet aux citoyens de savoir si un outil d'IA est sûr et fiable pour des domaines importants comme la santé ou les finances.\",\n  \"fr_key_points\": [\n    \"Les entreprises doivent rendre publiques les sources et les types de données utilisés pour entraîner leurs modèles d'IA.\",\n    \"Les développeurs d'IA doivent décrire clairement les risques et les limites de leurs systèmes, notamment pour la santé et les élections.\",\n    \"Des rapports sur les performances et les tests de sécurité de l'IA doivent être publiés dans un format facile à lire.\",\n    \"Les modèles d'IA entièrement libres de droits (open-source) sont exemptés de ces réglementations spécifiques.\",\n    \"La Commission fédérale du commerce (FTC) sanctionnera les entreprises qui ne respectent pas ces règles de transparence.\"\n  ],\n  \"es_ai_title\": \"Ley de Transparencia de Modelos de IA: nuevas reglas sobre datos de entrenamiento y funcionamiento\",\n  \"es_summary\": \"Esta ley exige que las empresas que desarrollan grandes sistemas de inteligencia artificial revelen qué datos usaron para entrenarlos y cuáles son sus limitaciones. Esto ayuda a los ciudadanos a saber si una herramienta de IA es segura y confiable para temas importantes como la salud o las finanzas.\",\n  \"es_key_points\": [\n    \"Las empresas deben informar públicamente sobre las fuentes y tipos de datos usados para entrenar su IA.\",\n    \"Los desarrolladores deben describir claramente los riesgos y límites de sus sistemas, especialmente en salud y elecciones.\",\n    \"Se deben publicar informes sobre el rendimiento y las pruebas de seguridad de la IA en un formato comprensible para el consumidor.\",\n    \"Los modelos de IA de código abierto total están exentos de estas regulaciones específicas de transparencia.\",\n    \"La Comisión Federal de Comercio (FTC) vigilará el cumplimiento y multará a las empresas que engañen sobre su tecnología.\"\n  ],\n  \"it_ai_title\": \"Legge sulla trasparenza dell'IA: nuove regole per informare su dati e algoritmi\",\n  \"it_summary\": \"Questa legge impone alle aziende che creano grandi sistemi di intelligenza artificiale di rivelare con quali dati sono stati addestrati e quali sono i loro limiti. Ciò aiuta i cittadini a capire se uno strumento di IA è sicuro e affidabile per questioni importanti come la salute o le finanze.\",\n  \"it_key_points\": [\n    \"Le aziende devono rendere pubbliche le fonti e i tipi di dati utilizzati per addestrare i loro modelli di IA.\",\n    \"Gli sviluppatori devono descrivere chiaramente i rischi e i limiti dei sistemi, specialmente in ambiti come la sanità e le elezioni.\",\n    \"Devono essere pubblicati rapporti sulle prestazioni e sui test di sicurezza dell'IA in un formato accessibile ai cittadini.\",\n    \"I modelli di IA completamente open-source sono esentati da queste specifiche norme sulla trasparenza.\",\n    \"La Federal Trade Commission (FTC) punirà le aziende che forniscono informazioni ingannevoli sul funzionamento della loro IA.\"\n  ],\n  \"nl_ai_title\": \"Wet Transparantie AI-modellen: nieuwe regels voor informatie over data en werking\",\n  \"nl_summary\": \"Deze wet verplicht bedrijven die grote AI-systemen maken om bekend te maken welke gegevens ze hebben gebruikt voor training en wat de beperkingen zijn. Dit helpt burgers te begrijpen of een AI-tool veilig en betrouwbaar is voor belangrijke zaken zoals zorg of financiën.\",\n  \"nl_key_points\": [\n    \"Bedrijven moeten openbaar maken welke bronnen en soorten gegevens zijn gebruikt om hun AI-modellen te trainen.\",\n    \"AI-ontwikkelaars moeten risico's en beperkingen duidelijk beschrijven, vooral bij gevoelige onderwerpen zoals gezondheid en verkiezingen.\",\n    \"Er moeten rapporten over de prestaties en veiligheidstests van de AI worden gepubliceerd in een begrijpelijk formaat.\",\n    \"Volledig open-source AI-modellen zijn vrijgesteld van deze specifieke transparantieregels.\",\n    \"De Federal Trade Commission (FTC) zal toezien op de naleving en boetes opleggen bij misleidende praktijken.\"\n  ],\n  \"pt_ai_title\": \"Lei da Transparência dos Modelos de IA: novas regras sobre dados e funcionamento da inteligência artificial\",\n  \"pt_summary\": \"Esta lei exige que as empresas que criam grandes sistemas de inteligência artificial revelem quais dados usaram para treino e quais são as suas limitações. Isso ajuda os cidadãos a saber se uma ferramenta de IA é segura e fiável para áreas importantes como a saúde ou finanças.\",\n  \"pt_key_points\": [\n    \"As empresas devem divulgar publicamente as fontes e os tipos de dados usados para treinar os seus modelos de IA.\",\n    \"Os programadores de IA devem descrever claramente os riscos e limites dos sistemas, especialmente em saúde e eleições.\",\n    \"Devem ser publicados relatórios sobre o desempenho e testes de segurança da IA num formato acessível ao consumidor.\",\n    \"Modelos de IA totalmente de código aberto (open-source) estão isentos destas regulamentações específicas.\",\n    \"A Comissão Federal de Comércio (FTC) fiscalizará e punirá empresas que omitam informações sobre o funcionamento da sua IA.\"\n  ],\n  \"category\": [\"Informatization\", \"Economy\", \"Security\"]\n}"
    }
  ]
}