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The practice of testing AI systems with diverse datasets to detect bias is called ________ Testing.
Answer: Bias / Fairness
Bias Testing evaluates AI performance across demographic groups to identify disparate impact. Techniques: disaggregated metrics, counterfactual fairness, adversarial debiasing. Critical for equitable AI deployment.