AI Agents & Applications · intermediate · concept 240 of 311 · Updated Nov 4, 2026
Explainable AI (XAI)
Techniques to make AI decisions interpretable by humans. SHAP and LIME explain individual predictions. Critical for healthcare, finance, and legal applications where decisions must be justified.
Top AI contributors on this
- Fei-Fei LiWorld Labs / Stanford University
- Timnit GebruDistributed AI Research Institute (DAIR)
- Margaret MitchellHugging Face
- Sara HookerAdaption Labs
- Yejin ChoiStanford University
- Yi ZengBeijing Institute of AI Safety and Governance / Renmin University of China
Key terms
SHAPLIMEFeature importanceAttention visualizationInterpretability
Learn these first
Videos
▶ What is Explainable AI? ↗
IBM Technology · YouTube
▶ Explainable AI: Demystifying AI Agents Decision-Making ↗
IBM Technology · YouTube
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