How do I build AI systems that are fair and avoid bias?

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.