Instruction: Discuss methods to detect and mitigate bias in machine learning models.
Context: This question tests the candidate's awareness of the ethical considerations in machine learning and their ability to implement fairness in models.
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The way I'd approach it in an interview is this: I do not assume I can prove a model is perfectly unbiased, but I can make bias much harder to ignore. I start by defining what kind of harm matters in the use...
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