Multiple Choice Flashcards

The model will correct historical bias because algorithms are neutral by default Fairness review becomes less important because past decisions are real data Protected groups become irrelevant if the model does not use sensitive fields The model may learn and repeat those patterns unless the team analyzes labels, features, outcomes, and mitigation options