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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Risk Program Management | 42% | - AI risk assessment and treatment strategies - AI governance communication and reporting - Enterprise AI risk program design - AI risk monitoring and continuous improvement |
| AI Risk Governance and Framework Integration | 37% | - AI Organizational Processes and Alignment - AI Models, Frameworks, Strategies, and Use Cases - AI Ownership, Oversight, and Accountability |
| AI Life Cycle Risk Management | - AI model and data risk identification - AI bias, drift, transparency, and control evaluation - AI development, deployment, and monitoring risks |
ISACA Advanced in AI Risk Sample Questions:
1. Which of the following is the MOST important consideration when determining mitigation controls for an AI system?
A) Prioritizing controls based on the complexity and computational requirements of the AI system
B) Providing comprehensive AI risk awareness training to security and technical personnel
C) Determining control performance baselines and reporting requirements for regulatory compliance
D) Evaluating control effectiveness and costs against potential business losses from unmitigated AI risk
2. An organization deploys an autonomous system that makes decisions affecting compliance with regulations.
If those decisions could potentially produce regulatory breaches, which of the following BEST helps to manage associated liability exposures?
A) Routing escalations through a single point of contact and prohibiting disclosure of proprietary information
B) Restricting AI deployment to use cases with lower impact and delaying broader operational integration
C) Creating a separate compliance program for AI obligations and maintaining distinct reporting channels
D) Retaining documentation that provides explainability for decisions and embedding controls in oversight processes
3. A risk practitioner learns that an AI system used by a manufacturer for quality control (QC) has produced inaccurate responses that could potentially impact user safety. Which of the following is the risk practitioner's BEST recommendation to mitigate this risk?
A) Augment the model with synthetic data.
B) Provide AI prompt engineering training.
C) Conduct bias and fairness testing.
D) Implement human-in-the-loop reviews.
4. Which risk treatment is MOST appropriate when an organization's AI system presents residual risk within tolerance and impacts non-critical functions?
A) Enhance monitoring to detect deviations
B) Recommend increasing the tolerance threshold.
C) Document a formal risk acceptance.
D) Implement periodic vulnerability scans.
5. An organization has deployed an AI system that initially performs well but whose outputs deteriorate over time despite stable input characteristics. Which of the following is the BEST course of action?
A) Focus efforts on dataset cleansing and documentation prior to further system updates.
B) Engage periodic external audits of model source code and implement peer code reviews.
C) Establish continuous performance monitoring and scheduled system recalibration.
D) Replace the system's predictive capability with static rule-based controls and fixed decision logic.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: C |

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