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Which technique is used to detect and mitigate bias in AI training datasets?
- Data Augmentation
- Adversarial Debiasing
- Feature Scaling
- Cross-Validation
Answer: Adversarial Debiasing
Adversarial Debiasing uses adversarial networks to remove correlations between protected attributes (gender, caste) and model predictions while preserving task performance. Other techniques: reweighting samples, bias-aware preprocessing, fairness constraints in loss function. Critical for ethical AI in hiring, lending, and public services where bias can perpetuate inequality.