Assess AI risk assessment and risk management approaches, including model failure modes, hallucinations, bias, automation bias, cybersecurity risks, human factors, post-market monitoring, and lifecycle management. Evaluate model testing approaches, including benchmarking, robustness testing, subgroup analyses, uncertainty quantification, stress testing, and adversarial testing (red teaming).