Isaca ISACA Advanced in AI Audit (AAIA) AAIA Question # 7 Topic 1 Discussion
AAIA Exam Topic 1 Question 7 Discussion:
Question #: 7
Topic #: 1
A car manufacturer uses an AI model to predict maintenance needs for its vehicles. Which of the following techniques can an IS auditor apply to MOST effectively verify the AI model ' s decisions to stakeholders?
A.
Using neural network visualization to show how the AI model processes data through its layers
B.
Using K-means algorithms to group vehicles based on mileage or engine temperature for maintenance patterns
C.
Utilizing support vector machines (SVM) to classify vehicles based on maintenance urgency
D.
Using local interpretable model-agnostic explanation (LIME) to analyze how specific features contribute to predictions
LIME (Local Interpretable Model-Agnostic Explanations) is a leading tool for explaining individual AI predictions by approximating the behavior of complex models with simple, interpretable ones in localized regions. The AAIA™ Study Guide highlights LIME as highly effective for providing transparency and interpretability to non-technical stakeholders.
“LIME enables auditors to demonstrate how specific input features influenced an AI decision, facilitating trust and stakeholder understanding—especially in regulated or high-impact contexts.”
Options A, B, and C are technical modeling techniques but do not prioritize stakeholder-friendly explanation. Therefore, D is best for transparency.
[Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: “AI in Audit Processes,” Subsection: “Explainability Tools and Stakeholder Communication”, , ]
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