Algorithmic Bias
Problem of AI systems perpetuating or amplifying social biases. Training data reflects historical discrimination. Algorithms can be racist, sexist, ableist. ProPublica's COMPAS analysis showed racial bias in recidivism prediction. Facial recognition fails on dark skin. Bias in hiring, lending, policing algorithms. Technical fixes insufficient without addressing social inequality. Fairness metrics conflict. Interpretability aids accountability. Regulation and auditing necessary.
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