Which practice ensures ML models are tested for fairness across demographic groups?
- Bias Audits
- Fairness Metrics
- Both A and B
- Neither
Answer: Both A and B
Fairness testing: bias audits detect disparate impact, fairness metrics (demographic parity, equalized odds) quantify equity. Critical for ethical AI deployment in regulated sectors.