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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Life Cycle Risk Management | - AI development, deployment, and monitoring risks - AI bias, drift, transparency, and control evaluation - AI model and data risk identification | |
| Topic 2: AI Risk Governance and Framework Integration | 37% | - AI Models, Frameworks, Strategies, and Use Cases - AI Ownership, Oversight, and Accountability - AI Organizational Processes and Alignment |
| Topic 3: AI Risk Program Management | 42% | - AI governance communication and reporting - Enterprise AI risk program design - AI risk monitoring and continuous improvement - AI risk assessment and treatment strategies |
ISACA Advanced in AI Risk Sample Questions:
1. An organization plans to procure an AI model from a third-party supplier for a critical business function.
Which of the following is MOST important to evaluate during supplier vetting?
A) Alignment with specific use cases
B) Industry-recognized certifications
C) Emphasis on innovative solutions
D) Size of model training datasets
2. An organization depends on multiple external suppliers for AI models and training datasets. Which of the following is MOST important to have in place in order to reduce supply chain risk?
A) Verifiable end-to-end provenance and audit trails for externally sourced artifacts
B) Standard indemnity clauses in vendor contracts to assign liability responsibilities
C) Appointment of a vendor risk manager with AI expertise to serve as a single point of contact
D) Requirement for vendors to provide documentation of model training methods used
3. An organization is designing an enterprise dashboard to support governance of its AI program. Which of the following is the risk practitioner's BEST recommendation?
A) Aggregate diverse metrics from all AI life cycle stages to deliver a unified and actionable enterprise view.
B) Develop AI-specific risk heat maps based on the degree of variance from predicted model training outcomes.
C) Assign dashboard responsibility to the IT function and require the inclusion of AI system availability metrics.
D) Designate AI system uptime, availability, and infrastructure health metrics as primary performance indicators.
4. Which risk treatment is MOST appropriate when an organization's AI system presents residual risk within tolerance and impacts non-critical functions?
A) Implement periodic vulnerability scans.
B) Enhance monitoring to detect deviations
C) Document a formal risk acceptance.
D) Recommend increasing the tolerance threshold.
5. To reinforce organization-wide ethical norms and risk recognition, which of the following is MOST important to integrate into AI user training?
A) Acceptable use policy and acknowledgment
B) Ethical risk indicators and reporting
C) Cyber threat identification and AI incident handling
D) External regulations and compliance checklists
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: B |
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