Definition
Systematic evaluation of AI systems for performance, fairness, transparency, robustness, security, and compliance.
Detailed Explanation
The systematic evaluation of AI systems to assess their performance, fairness, transparency, robustness, security, and compliance with regulations and ethical guidelines.
Use Cases
Ensuring compliance with regulations (e.g., EU AI Act), identifying and mitigating bias, verifying model safety and reliability, building trust in AI systems, independent third-party assessments.
