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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Governance and Framework Integration | 37% | - 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 - AI Trustworthiness, Ethical and Societal Implications |
| Topic 2: AI Risk Program Management | 42% | - AI Risk Monitoring and Reporting - AI Risk Response and Mitigation - AI Risk Identification and Assessment - AI Risk Assurance and Continuous Improvement |
| Topic 3: AI Life Cycle Risk Management | 21% | - AI Design, Development/Procurement, and Documentation - AI Implementation, Maintenance, and Decommissioning - AI Data and Asset Management - AI Model Training, Testing, and Validation |
ISACA Advanced in AI Risk Sample Questions:
Which of the following BEST helps to ensure a deep learning model with a large volume of relevant data meets an organization ' s needs?
- A. Hyperparameter fine-tuning
- B. Federated accountability model
- C. Data augmentation
- D. Unsupervised learning
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Which of the following is the MOST important reason for a risk practitioner to classify AI risk using threat actor profiles?
- A. To develop response metrics for AI cybersecurity incidents
- B. To ensure external threats to corporate assets are given highest priority
- C. To align AI threat and vulnerability risk with the overall IT control taxonomy
- D. To tailor controls to adversary motivations and capabilities
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Which AI security by design option BEST mitigates targeted model poisoning and supply chain tampering?
- A. Frequent data refreshes with checksums
- B. Frequent model retraining and bias monitoring
- C. Adversarial resilience and data integrity controls
- D. Use data tokenization for sensitive fields
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A risk practitioner learns that a credit-scoring AI system is exhibiting bias that cannot be eliminated through further training. Which of the following is the risk practitioner ' s BEST recommendation?
- A. Source vendors for a new credit-scoring AI solution.
- B. Apply compensating controls that generate offsetting biases in the opposite direction.
- C. Take the system out of production to avoid harm and potential legal liability.
- D. Request a risk acceptance from senior management.
A manufacturing organization has implemented an autonomous navigation system for warehouse operations.
Which of the following should a risk practitioner regard as the MOST significant concern?
- A. The system is unable to learn from complex situations not encountered during training.
- B. The deep neural network used by the system contains datasets with proprietary information.
- C. The system is used to accelerate just-in-time warehouse processes.
- D. The organization uses outside contractors to address the lack of in-house AI knowledge.
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