Human Bias In Machine Learning Debugging: Stunning Pictures & Details

Debugging Algorithmic Bias

Why Debug Algorithmic Bias ? Machine learning models make decisions that affect real people. When these models contain bias , they can harm vulnerable groups and create legal risks for organizations. Traditional debugging focuses on code correctness, but finding fairness violations requires different techniques.

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Overcoming the pitfalls and perils of algorithms

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We further contextualize these biases in a real-world case study and illustrate adequate mitigation strategies. These insights synthesize the literature on machine learning biases in a concise manner and point to the importance of human judgment for machine learning algorithms.

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