Audit training data and outputs for demographic bias, test across diverse user groups, use bias-detection tools (Fairlearn, AI Fairness 360), document model cards with known limitations, implement human review for high-impact decisions, and establish a feedback mechanism for affected users to report harm.
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Jun 9, 2026 3:22:11 PM
Jun 9, 2026 3:22:11 PM
How do I build AI systems that are fair and avoid bias?
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