2
Module 2
Explainable AI (XAI)
Make black-box models interpretable and trustworthy
📚3 Lessons
💻View on GitHubLessons
1
Why Explainability Matters
45 minLegal, ethical, and practical reasons for transparent AI
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2
LIME, SHAP & Attention Visualization
80 minHands-on tools to explain individual model predictions
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3
XAI in High-Stakes Domains
65 minApplying explainability in healthcare, finance, and criminal justice
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