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Explainable AI (XAI)
Ethics / Safety / Privacy
Making AI decisions understandable to humans.
Explainable AI (XAI) refers to methods that make the inner workings and decisions of complex models transparent and interpretable.
- Techniques: SHAP, LIME, feature importance visualization.
- Goal: Improve trust, accountability, and model reliability.