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ISACA AAIR Exam Syllabus Topics:

ISACA Advanced in AI Risk Sample Questions:

1. An organization is selecting an AI model for a solution that requires the creation of new content. It is MOST important to consider selecting:

A) a reinforcement learning model that optimizes sequential actions through reward signals.
B) an unsupervised clustering model that groups observations by similarity metrics.
C) a generative model capable of synthesizing samples from an underlying distribution.
D) a rule-based expert system driven by explicit decision rules and domain knowledge.

2. A credit-scoring AI solution exhibits steadily declining accuracy despite unchanged input distributions.
Which of the following should a risk practitioner consider to be the GREATEST risk?

A) Concept drift leading to faulty decisions
B) Technical delays affecting credit score updates
C) Underfitting resulting from shortened training cycles
D) Increased model retraining costs

3. Which of the following is the PRIMARY benefit of using AI-based data analytic tools to monitor AI system risk?

A) Comprehensive logging and documentation of unauthorized AI system access attempts
B) Forecasting industry-specific AI risk trends and projecting future financial and business risk
C) Early detection of latent vulnerabilities by identifying anomalous patterns within large datasets
D) Reduction of human involvement through automation of risk analyses and treatment decisions

4. Risk practitioners use automated tools to generate potential AI risk scenarios. Which of the following represents the GREATEST risk from that approach?

A) Impacts from model changes may be underestimated.
B) Emerging adversarial attack vectors may be overlooked.
C) Likelihood and impact scoring may be more complex.
D) Scenarios may not account for all process interdependencies.

5. Which of the following is the GREATEST concern when an organization cannot clearly explain an AI system's decision-making process and the origin of its inputs?

A) Inability to detect discriminatory or inaccurate outputs that expose the organization to regulatory and reputational risk
B) Increased dependence on external AI service providers for managing AI system risk throughout its life cycle
C) Decrease in AI adoption rates within business units who are regularly responsible for critical decisions
D) Heightened reliance on manual review resulting in approval bottlenecks and slower response times

Solutions: