Discuss the implications of the 'black box' nature of deep learning models on AI Explainability.

Instruction: Provide insights into the challenges posed by deep learning models in terms of explainability and how these challenges can be addressed.

Context: This question assesses the candidate's understanding of deep learning models' opaque nature and their ability to articulate strategies for enhancing their transparency.

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The way I'd explain it in an interview is this: The black-box problem in deep learning matters because these models can be highly capable while also being difficult to inspect in ways humans can meaningfully reason about. That creates tension between performance and...

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