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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Life Cycle Risk Management | 21% | - AI Design, Development/Procurement, and Documentation - AI Data and Asset Management - AI Model Training, Testing, and Validation - AI Implementation, Maintenance, and Decommissioning |
| AI Risk Program Management | 42% | - AI Risk Monitoring and Reporting - AI Risk Assurance and Continuous Improvement - AI Risk Identification and Assessment - AI Risk Response and Mitigation |
| AI Risk Governance and Framework Integration | 37% | - AI Ownership, Oversight, and Accountability - AI Policies, Procedures, and Organizational Training - AI Regulatory Compliance and Legal Considerations - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment - AI Trustworthiness, Ethical and Societal Implications |
ISACA Advanced in AI Risk Sample Questions:
Which of the following would BEST mitigate operational and legal risk exposure when integrating third-party AI services?
- A. Implementing safeguards for AI data storage and transfer
- B. Defining a responsibility matrix and accountability for all parties
- C. Including compliance reporting requirements in contracts
- D. Delegating operational controls to the service provider
Correct Answer: B 🗳️
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AI tools can BEST help to mitigate supply chain risk by:
- A. performing sentiment analysis on supplier reputation and reviews.
- B. enhancing predictive capabilities to identify potential disruptions.
- C. identifying historical physical and logical security control gaps.
- D. automating routine inventory management tasks.
Correct Answer: B 🗳️
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Which of the following poses the GREATEST challenge when performing root cause analysis for incidents involving AI systems and data?
- A. Automation bias
- B. Lack of transparency
- C. Privacy compliance
- D. Unclear system objectives
Correct Answer: B 🗳️
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Which of the following is the GREATEST risk when AI governance fails to incorporate stakeholder perspectives in policy and design decisions?
- A. Unclear structures for strategic decision-making
- B. Inadequate model transparency and explainability
- C. Inappropriate concentration of authority for approving AI use cases
- D. Misalignment of AI behavior and outputs with expected business cases
Correct Answer: D 🗳️
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Which of the following testing approaches BEST helps to identify risk in an AI-powered customer support solution?
- A. Stress testing the solution's performance under heavy workloads
- B. Reviewing the results of integrated test scenarios
- C. Maximizing average-case accuracy on training data
- D. Using adversarial inputs to determine failure modes
Correct Answer: D 🗳️
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