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Which practice ensures AI training data represents diverse populations to avoid bias?
- Data Augmentation
- Representative Sampling
- Bias Auditing
- All of these
Answer: All of these
Fair AI requires: representative datasets covering demographics, augmentation to address underrepresentation, and continuous bias auditing. Critical for equitable AI in hiring, lending, healthcare.