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ISACA AAIR Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| AI Governance and Strategy | - AI governance frameworks and organizational oversight
|
| AI Lifecycle Controls | - Controls across AI development lifecycle
|
| AI Risk Management | - Risk identification and assessment for AI systems
|
| Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
| Regulatory and Compliance Requirements | - Global AI regulatory landscape
|
ISACA Advanced in AI Risk Sample Questions:
Which of the following is the PRIMARY benefit of aligning AI risk management with existing organizational governance frameworks?
- A. It emphasizes the development of specialized functional roles and clarifies AI risk responsibility boundaries.
- B. It expedites approval processes for compliance with AI laws and regulations.
- C. It promotes consistent enterprise-level oversight of AI activities and aligns decisioning with strategic objectives.
- D. It standardizes AI acquisition processes across organizational business units.
Correct Answer: C 🗳️
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Which of the following is the PRIMARY reason to lower AI model temperature?
- A. To mitigate the risk of persistent bias in responses to users
- B. To reduce energy consumption and environmental impact
- C. To diversify ideas and recommendations generated by the model
- D. To enhance consistency and accuracy of model outputs
Correct Answer: D 🗳️
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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. Source vendors for a new credit-scoring AI solution.
- B. Take the system out of production to avoid harm and potential legal liability.
- C. Request a risk acceptance from senior management.
- D. Apply compensating controls that generate offsetting biases in the opposite direction.
Correct Answer: B 🗳️
Which of the following is the GREATEST benefit of incorporating AI technology for data asset management?
- A. Automating data cleaning and metadata tagging for large datasets
- B. Reducing the initial impacts of data poisoning and exfiltration attacks
- C. Providing more rapid identification of overfitting during model training
- D. Justifying the use of synthetic data to augment smaller datasets
Correct Answer: A 🗳️
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An organization has identified a moderate AI exposure from potential model inaccuracies that could affect internal reporting. The risk falls within the organization ' s defined tolerance. Which of the following is the BEST course of action?
- A. Allocate more resources for additional human review cycles to identify accuracy and bias in model outputs.
- B. Take the system offline until the model has been retrained and produces more accurate outputs.
- C. Adjust the model temperature to its lowest possible value and conduct comprehensive retesting.
- D. Accept the inherent risk and continue to monitor performance against organizational thresholds.
Correct Answer: D 🗳️
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