How do AI Engineers deal with bias in AI models?
The question is about AI Engineering .
AI engineers fix bias by ensuring their training data encompasses diverse groups. They apply techniques such as resampling, data weighting, and adversarial training to reduce bias. Routine model audits detect new biases, and principles of fairness and transparency are integrated into AI to produce more equitable outcomes.
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