The practice of testing AI systems with diverse datasets to detect bias is called ________ Testing.
- P4 / Programmable
- Indigenization / Self-Reliance
- Blockchain
- Bias / Fairness
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.