An IS auditor is reviewing change documentation of an AI model.

A low number of test scenarios (C) indicates insufficient testing coverage, creating a high likelihood that errors, biases, or edge-case failures remain undetected. AI systems require broad, diverse scenario testing , including fairness, robustness, and stress testing. AAIA highlights comprehensive testing as essential to AI reliability and risk mitigation.

Lack of standardized test formats (B) is inefficient but less severe. Missing seed documentation (D) affects reproducibility but not completeness. Lack of management testing (A) matters, but insufficient test scenarios pose the largest direct risk to model safety and performance.