An organization's AI risk framework includes a requirement for 'AI system resilience.' Which risk scenario BEST tests AI system resilience?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because resilience testing assesses how a system behaves under adverse or unexpected conditions, not just normal operation. For AI systems, this includes testing performance under noisy inputs, partial data outages, edge cases, and adversarial perturbations, as well as ensuring graceful degradation rather than catastrophic failure.
Full explanation below image
Full Explanation
B is correct because resilience testing assesses how a system behaves under adverse or unexpected conditions, not just normal operation. For AI systems, this includes testing performance under noisy inputs, partial data outages, edge cases, and adversarial perturbations, as well as ensuring graceful degradation rather than catastrophic failure. Holdout set evaluation (A) tests normal-condition performance. Pipeline timing (C) is an operational concern. Documentation completeness (D) is a governance check.