Quantitative measures and mathematical frameworks used to evaluate whether an AI system produces equitable outcomes across demographic groups. Core metrics include demographic parity, equalized odds, equal opportunity, and predictive parity; selection among them depends on context and regulatory requirements, as metrics can conflict and no single criterion satisfies all fairness definitions simultaneously.
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Fairness Metrics — content pending enrichment.