Module 4: Deployment and responsible ML

Fairness and explainability

Models can reproduce historical bias or underperform for specific groups. Evaluate segmented metrics, document limitations, use suitable explanations, and retain human oversight for high-impact decisions.

Practice exercise

Create a fairness review checklist for a hiring model.

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