An AI auditor is testing an AI model's robustness as part of an assurance engagement. Which test BEST evaluates the model's stability under minor input perturbations?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — a is correct because sensitivity analysis directly tests model stability by observing how small, controlled changes in inputs affect outputs — revealing whether the model produces erratic or inconsistent predictions from minor input variations, which is a robustness risk. B measures classification performance, not stability.
Full explanation below image
Full Explanation
A is correct because sensitivity analysis directly tests model stability by observing how small, controlled changes in inputs affect outputs — revealing whether the model produces erratic or inconsistent predictions from minor input variations, which is a robustness risk. B measures classification performance, not stability. C diagnoses overfitting vs. underfitting. D is a dimensionality reduction technique, not a robustness test.