What distinguishes Interpretability from Explainability?
Answer
Interpretability focuses on the internal mechanics (weights/layers), while Explainability focuses on articulating the justification for an outcome
Interpretability concerns understanding the model’s internal structure (weights, parameters), whereas explainability focuses on articulating the rationale for a specific decision in terms the target audience can grasp.
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What Is Explainable AI? - YouTube
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