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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Risk Program Management | 42% | - AI Risk Assurance and Continuous Improvement - AI Risk Monitoring and Reporting - AI Risk Response and Mitigation - AI Risk Identification and Assessment |
| AI Risk Governance and Framework Integration | 37% | - AI Trustworthiness, Ethical and Societal Implications - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment - AI Policies, Procedures, and Organizational Training - AI Regulatory Compliance and Legal Considerations - AI Ownership, Oversight, and Accountability |
| AI Life Cycle Risk Management | 21% | - AI Implementation, Maintenance, and Decommissioning - AI Data and Asset Management - AI Model Training, Testing, and Validation - AI Design, Development/Procurement, and Documentation |
ISACA Advanced in AI Risk Sample Questions:
1. Which of the following is the PRIMARY reason to include contractual requirements for model updates and disclosures from third-party AI suppliers?
A) To guarantee that existing availability targets will be achieved following each update
B) To determine appropriate access to vendor staff for datasets containing sensitive information
C) To ensure timely detection and mitigation of new system risks that could harm individuals
D) To ensure internal trust in the model's reliability before launching AI-driven innovation efforts
2. Which of the following is the PRIMARY benefit of implementing a comprehensive data pipeline for AI model training, testing, and validation?
A) Sharing of governance risk with external data and service providers
B) Reduced risk of introducing errors into the final AI model
C) Enhanced auditability of outputs to provide evidence of regulatory compliance
D) Automation of complex tasks in early stages of the data pipeline
3. A risk practitioner assesses a new AI system and determines that the risk is within the organization's risk tolerance. Which of the following is the BEST recommendation to ensure system controls remain effective over time?
A) Ongoing AI security and risk awareness training
B) Periodic regulatory compliance reviews
C) Alignment with recognized AI control frameworks
D) Continuous monitoring for data and performance drift
4. Which of the following is the MOST appropriate key performance indicator (KPI) for the effectiveness of a targeted AI risk awareness training program?
A) AI solution adoption rates among business units whose employees have taken training
B) Number of AI irregularities or potential tampering incidents reported by users
C) Percentage of users who can identify the financial impact of AI outcomes
D) Changes in risk ratings for risk scenarios involving awareness of insider threats
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) Establish continuous performance monitoring and scheduled system recalibration.
B) Focus efforts on dataset cleansing and documentation prior to further system updates.
C) Engage periodic external audits of model source code and implement peer code reviews.
D) Replace the system's predictive capability with static rule-based controls and fixed decision logic.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: A |






