What Is Explainable AI? | Explainable vs Interpretable Machine Learning

The video discusses the importance of explainable AI, highlighting the challenges of understanding complex machine learning models. It explains the need for trust in AI systems, especially in regulated fields like healthcare. The video outlines two main approaches to explainability: analyzing black box models and creating inherently interpretable models. It also addresses the challenges of bias and the difficulty of translating complex models into understandable explanations. The video concludes with a discussion on the importance of effectively communicating model insights to the public.

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