How can AI Explainability mitigate biases in AI models?

Instruction: Discuss the connection between AI Explainability and bias mitigation in AI systems.

Context: This question tests the candidate's understanding of the ethical implications of AI, specifically how explainability can help identify and mitigate biases within AI models. It assesses their awareness of the challenges and solutions related to bias in AI.

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The way I'd approach it in an interview is this: Explainability helps mitigate bias by making it easier to see what the model is actually responding to. If a system is relying too heavily on certain features, proxy variables, or patterns that...

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