Bias and Fairness
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Identifying and mitigating unfair bias in ML systems. Training data bias leads to biased predictions that can harm underrepresented groups. Metrics: demographic parity, equalized odds, equal opportunity.
Related
- Explainability (understand where bias occurs)
- Model Cards (document bias analysis)