AI Ethics & Safety
AI Bias
AI Ethics & Safety· Intermediate
Definition
Systematic and unfair discrimination in AI outputs stemming from biased training data, flawed model design, or misaligned objectives. Bias can manifest across demographic groups in hiring, lending, and medical diagnosis. Detecting and mitigating bias is an ethical and legal imperative for enterprise AI.
Tags
#fairness#discrimination#disparate-impact#governance
MS
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Reviewed by enterprise AI practitioners
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