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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Governance and Framework Integration | 37% | - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment - AI Policies, Procedures, and Organizational Training - AI Trustworthiness, Ethical and Societal Implications - AI Regulatory Compliance and Legal Considerations |
| Topic 2: AI Life Cycle Risk Management | 21% | - AI Design, Development/Procurement, and Documentation - AI Model Training, Testing, and Validation - AI Implementation, Maintenance, and Decommissioning - AI Data and Asset Management |
| Topic 3: AI Risk Program Management | 42% | - AI Risk Identification and Assessment - AI Risk Assurance and Continuous Improvement - AI Risk Response and Mitigation - AI Risk Monitoring and Reporting |
ISACA Advanced in AI Risk Sample Questions:
1. Which of the following is MOST important when defining responsible roles for integrating third-party AI services into an organization's supply chain?
A) Aligning organizational and third-party AI security policies
B) Mandating cross-functional AI training for third-party staff
C) Designating AI governance and risk ownership
D) Standardizing migration and data transfer protocols
2. 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) Overly detailed technical specifications
B) Delays in regulatory filings
C) Decentralized version control
D) Inadequate explainability
3. Which of the following is the PRIMARY benefit of using AI-based data analytic tools to monitor AI system risk?
A) Reduction of human involvement through automation of risk analyses and treatment decisions
B) Early detection of latent vulnerabilities by identifying anomalous patterns within large datasets
C) Forecasting industry-specific AI risk trends and projecting future financial and business risk
D) Comprehensive logging and documentation of unauthorized AI system access attempts
4. Which of the following should be the MOST important area of focus during the development of data security risk scenarios specific to AI?
A) Attack vectors enabled by techniques for malicious alteration of AI system outputs
B) Development and communication of need-based access policies for the use of AI applications
C) Quantum encryption methods for the protection of proprietary organizational data assets
D) Documentation of business unit readiness for secure adoption of AI for general operations
5. 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
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: C |






