Explainable AI Insights
Denis dives into the concept of explainable AI, clarifying that it’s not about explaining algorithms but rather understanding model outputs. He uses the analogy of basketball players to illustrate the Shapley value, emphasizing how removing or adding elements can impact results. The discussion also touches on the complexities of interpreting scientific concepts like the Heisenberg equation, showcasing the importance of clarity in AI outputs.In this clip
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