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Bias Detection and Mitigation in AI Systems

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Bias Detection and Mitigation in AI Systems

Learn how to detect and reduce bias in AI systems. Explore where bias comes from, how to audit AI for fairness, and how to mitigate bias across data, models, and deployment.

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What you'll learn

Understand where bias comes from
Identify how bias enters AI systems through data, design, and human decisions
Detect and audit bias
Test AI systems for fairness across groups using practical audit techniques
Mitigate bias across the AI lifecycle
Apply data, model, and human-in-the-loop strategies to reduce unfair outcomes
Build fair and accountable AI
Design AI systems that are transparent, trustworthy, and responsible in real-world use
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