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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Program Management | 42% | - AI Risk Identification and Assessment - AI Risk Assurance and Continuous Improvement - AI Risk Monitoring and Reporting - AI Risk Response and Mitigation |
| Topic 2: AI Risk Governance and Framework Integration | 37% | - AI Trustworthiness, Ethical and Societal Implications - AI Models, Frameworks, Strategies, and Use Cases - AI Policies, Procedures, and Organizational Training - AI Ownership, Oversight, and Accountability - AI Regulatory Compliance and Legal Considerations - AI Organizational Processes and Alignment |
| Topic 3: AI Life Cycle Risk Management | 21% | - AI Implementation, Maintenance, and Decommissioning - AI Model Training, Testing, and Validation - AI Design, Development/Procurement, and Documentation - AI Data and Asset Management |
ISACA Advanced in AI Risk Sample Questions:
1. Which of the following is the PRIMARY benefit of incorporating new AI-specific controls?
A) It accelerates deployment timelines by enabling more efficient pre-deployment risk analysis.
B) It provides a holistic approach to address conventional governance exposures and emerging AI vulnerabilities.
C) It identifies and prioritizes compliance reporting requirements that apply to both existing and new controls.
D) It reduces costs by eliminating redundant controls and consolidating control oversight.
2. Which of the following is the GREATEST benefit of incorporating AI technology for data asset management?
A) Automating data cleaning and metadata tagging for large datasets
B) Justifying the use of synthetic data to augment smaller datasets
C) Reducing the initial impacts of data poisoning and exfiltration attacks
D) Providing more rapid identification of overfitting during model training
3. 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) Evaluating control effectiveness and costs against potential business losses from unmitigated AI risk
D) Determining control performance baselines and reporting requirements for regulatory compliance
4. Which of the following is the BEST governance approach for balancing risk management and operational flexibility across diverse AI applications?
A) Risk ownership processes that focus on ensuring centralized decision-making
B) Control approaches for AI solutions that prioritize compliance on a single regulation
C) Frameworks that can be adapted to business-relevant AI use cases
D) External consultants who conduct independent AI governance reviews
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: B | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: C |
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