Instruction: Outline the steps and methodologies you would employ to identify, measure, and reduce bias in an NLP dataset or model outputs.
Context: This question evaluates the candidate's awareness of ethical considerations in NLP and their ability to implement practical solutions to address bias.
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I would design this as a pipeline with detection, review, and intervention rather than one classifier. First, I would define what kinds of bias matter in the domain: stereotyping, harmful association, exclusion, skewed representation, or unfair sentiment patterns. Then I would build...