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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Program Management | 42% | - Enterprise AI risk program design - AI risk monitoring and continuous improvement - AI risk assessment and treatment strategies - AI governance communication and reporting |
| Topic 2: AI Life Cycle Risk Management | - AI model and data risk identification - AI bias, drift, transparency, and control evaluation - AI development, deployment, and monitoring risks | |
| Topic 3: AI Risk Governance and Framework Integration | 37% | - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment - AI Ownership, Oversight, and Accountability |
ISACA Advanced in AI Risk Sample Questions:
1. An organization has deployed generative AI tools broadly but lacks a consistent method to refresh governance policies and controls. Which of the following is the risk practitioner's BEST recommendation?
A) Centralize decision making and concentrate authority within executive leadership and technical owners.
B) Implement systematic updates and emphasize alignment with emerging regulatory expectations.
C) Establish an ongoing review cadence and codify procedures for reassessment.
D) Schedule annual compliance reviews and integrate audit findings into revision planning.
2. Which of the following is the BEST course of action to mitigate risk during model selection of supervised or unsupervised algorithms?
A) Align algorithmic capabilities to intended use cases.
B) Emphasize the generalization capability of algorithms.
C) Require the use of supervised learning for model training projects.
D) Prioritize cost reductions related to computational requirements.
3. An organization uses an AI model that learns from live data streams. Which of the following is the BEST course of action to manage the risk of an adaptive model?
A) Apply dynamic performance thresholds and conduct scheduled recalibrations.
B) Implement automated monitoring to detect data drift and data poisoning.
C) Restrict data sources and perform periodic data quality inspections.
D) Utilize a defense-in-depth control approach for model access.
4. Which of the following is the MOST important reason for a risk practitioner to classify AI risk using threat actor profiles?
A) To tailor controls to adversary motivations and capabilities
B) To ensure external threats to corporate assets are given highest priority
C) To develop response metrics for AI cybersecurity incidents
D) To align AI threat and vulnerability risk with the overall IT control taxonomy
5. An organization integrates multiple AI services using APIs to enhance a customer support chatbot. Which of the following is the GREATEST risk?
A) Customer dissatisfaction from operational delays
B) Unauthorized disclosure of sensitive records via insecure external connections
C) Greater likelihood of bias or inaccuracy in chatbot responses
D) Insufficient training datasets due to outdated or limited sample coverage
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: B |







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