Balancing Fairness and Accuracy
Michael and Kyle discuss the challenges of incorporating fairness into machine learning algorithms while maintaining high accuracy. They explore the trade-offs between fairness and predictive performance and emphasize the importance of making policy decisions based on the specific application.In this clip
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