Systematic evaluation of artificial intelligence models and systems against ethical, fairness, transparency, and security criteria. Includes testing for bias detection, adversarial robustness, privacy preservation, model explainability, compliance with frameworks like NIST AI RMF and the EU AI Act, and assessment of risks related to discrimination, manipulation, and improper use of AI systems.