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ISACA AAIR Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| AI Governance and Strategy | - AI governance frameworks and organizational oversight
|
| Regulatory and Compliance Requirements | - Global AI regulatory landscape
|
| AI Risk Management | - Risk identification and assessment for AI systems
|
| Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
| AI Lifecycle Controls | - Controls across AI development lifecycle
|
ISACA Advanced in AI Risk Sample Questions:
Which of the following is the PRIMARY benefit of integrating AI-driven business intelligence into enterprise risk processes?
- A. Centralized governance of AI inventory and classification activities
- B. Automated production of technical performance reports for AI business tools
- C. Reduced costs through elimination of redundant business risk oversight mechanisms
- D. Enhanced alignment of analysis outputs with organizational risk thresholds
Correct Answer: D 🗳️
Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).
Which of the following is the PRIMARY benefit of using AI to assist with risk scenario identification?
- A. Simplified risk scoring and prioritization
- B. Improved real-time analysis and pattern recognition
- C. Enhanced compliance with AI risk management best practices
- D. Ability to simulate real-world risk conditions
Correct Answer: B 🗳️
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A risk practitioner learns that a credit-scoring AI system is exhibiting bias that cannot be eliminated through further training. Which of the following is the risk practitioner ' s BEST recommendation?
- A. Take the system out of production to avoid harm and potential legal liability.
- B. Apply compensating controls that generate offsetting biases in the opposite direction.
- C. Request a risk acceptance from senior management.
- D. Source vendors for a new credit-scoring AI solution.
Correct Answer: A 🗳️
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An organization seeks to improve AI oversight by incorporating external perspectives regarding potential public harms from AI use. Which of the following is MOST important to consider?
- A. Formal procedures to solicit and prioritize feedback from affected communities and independent experts
- B. Post-deployment analysis and escalation of observed harms from operational logs and user complaints
- C. Public policy research checklists that assess potential public impacts
- D. Quantitative metrics to measure and report fairness and performance
Correct Answer: A 🗳️
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A risk practitioner learns that an AI system used by a manufacturer for quality control (QC) has produced inaccurate responses that could potentially impact user safety. Which of the following is the risk practitioner ' s BEST recommendation to mitigate this risk?
- A. Augment the model with synthetic data.
- B. Implement human-in-the-loop reviews.
- C. Provide AI prompt engineering training.
- D. Conduct bias and fairness testing.
Correct Answer: B 🗳️
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