AAISM: Advanced in AI Security Management

Adequate, representative test data with validated labels is essential for evaluating AI behavior across normal, edge, and potentially biased cases. Such data can be difficult to obtain and verify because it must cover relevant real-world conditions while maintaining data quality and trustworthy expected outcomes.