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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Life Cycle Risk Management | 21% | - AI Design, Development/Procurement, and Documentation - AI Implementation, Maintenance, and Decommissioning - AI Model Training, Testing, and Validation - AI Data and Asset Management |
| Topic 2: AI Risk Governance and Framework Integration | 37% | - AI Trustworthiness, Ethical and Societal Implications - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment - AI Policies, Procedures, and Organizational Training - AI Regulatory Compliance and Legal Considerations |
| Topic 3: 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 |
ISACA Advanced in AI Risk Sample Questions:
1. Which of the following is the PRIMARY benefit of integrating AI risk processes into an enterprise risk framework?
A) Rapid identification of cyber threats and risks
B) Improved compliance with regulatory requirements
C) Organization-level oversight and strategic alignment
D) More accurate benchmarking of AI key performance indicators (KPIs)
2. Which of the following poses the GREATEST challenge when performing root cause analysis for incidents involving AI systems and data?
A) Unclear system objectives
B) Automation bias
C) Privacy compliance
D) Lack of transparency
3. Which of the following information is MOST important to add to an organizational business continuity plan (BCP) when adopting a customer-facing AI solution?
A) Post-incident audits of AI system recovery times and accuracy metrics
B) Secure access to alternate resources, multi-region failover, and sufficient load balancing
C) Criteria for initiation of automated breach containment measures
D) Centralization of AI system failover mechanisms under a single cloud service provider
4. An organization is selecting an AI model for a solution that requires the creation of new content. It is MOST important to consider selecting:
A) a generative model capable of synthesizing samples from an underlying distribution.
B) a reinforcement learning model that optimizes sequential actions through reward signals.
C) an unsupervised clustering model that groups observations by similarity metrics.
D) a rule-based expert system driven by explicit decision rules and domain knowledge.
5. A risk practitioner is evaluating AI model cards and documentation prior to deployment. Which of the following represents the GREATEST risk to enterprise AI governance?
A) Inadequate explainability
B) Overly detailed technical specifications
C) Decentralized version control
D) Delays in regulatory filings
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A |
