In the context of AI Explainability, how do you address the issue of data privacy and security?

Instruction: Explain your approach to ensuring that efforts to enhance AI Explainability do not compromise data privacy and security.

Context: This question evaluates the candidate's ability to balance the need for transparency in AI systems with the equally important need to protect sensitive information.

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The way I'd think about it is this: Explainability should not become an excuse to expose sensitive data or model internals recklessly. I think of privacy and explainability as constraints that need to be designed together rather than traded off casually at the end.

That means choosing explanation...

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