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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Life Cycle Risk Management | 21% | - AI Model Training, Testing, and Validation - AI Data and Asset Management - AI Design, Development/Procurement, and Documentation - AI Implementation, Maintenance, and Decommissioning |
| Topic 2: AI Risk Governance and Framework Integration | 37% | - AI Organizational Processes and Alignment - AI Regulatory Compliance and Legal Considerations - AI Policies, Procedures, and Organizational Training - AI Trustworthiness, Ethical and Societal Implications - AI Models, Frameworks, Strategies, and Use Cases - AI Ownership, Oversight, and Accountability |
| Topic 3: AI Risk Program Management | 42% | - AI Risk Identification and Assessment - AI Risk Response and Mitigation - AI Risk Assurance and Continuous Improvement - AI Risk Monitoring and Reporting |
ISACA Advanced in AI Risk Sample Questions:
Which of the following MOST effectively reduces bias resulting from variances in free-form answers in the dataset?
- A. Increasing the volume of available examples
- B. Scaling and standardizing inputs
- C. Identifying and removing incomplete records
- D. Labeling unstructured data
Correct Answer: B 🗳️
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Which of the following is the MOST important consideration when selecting controls for AI systems?
- A. Key performance indicators (KPIs) for output accuracy
- B. Alignment with approved policy and oversight frameworks
- C. Integration with existing IT security controls and processes
- D. AI expertise requirements for staff implementing controls
Correct Answer: B 🗳️
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Which of the following is the MOST important reason for a risk practitioner to validate the alignment of a deployed AI model with business requirements?
- A. To mitigate risk from unintended model behavior
- B. To enhance the efficiency of model retraining and updates
- C. To safeguard against the loss of proprietary business knowledge
- D. To ensure the accuracy of model deployment schedule
Correct Answer: A 🗳️
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Which of the following is the MOST important vendor assurance measure when an organization plans to engage multiple AI vendors for critical model components?
- A. Verifying documentation of data provenance and integrity
- B. Analyzing the representativeness of vendor training datasets
- C. Centralizing AI risk oversight and mitigation responsibilities within IT teams
- D. Mandating vendor use of proprietary development tools
Correct Answer: A 🗳️
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A risk practitioner assesses an AI model used for predictive diagnostics and finds that the system lacks automated update mechanisms. Which of the following is the GREATEST risk?
- A. Incomplete predictive threat modeling
- B. Inability to deploy synthetic data augmentation for model datasets
- C. Compromise of predictive accuracy due to outdated model assumptions
- D. Inefficiency due to need for human intervention
Correct Answer: C 🗳️
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