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ISACA AAIR Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
| Topic 2: AI Lifecycle Controls | - Controls across AI development lifecycle
|
| Topic 3: AI Governance and Strategy | - AI governance frameworks and organizational oversight
|
| Topic 4: Regulatory and Compliance Requirements | - Global AI regulatory landscape
|
| Topic 5: AI Risk Management | - Risk identification and assessment for AI systems
|
ISACA Advanced in AI Risk Sample Questions:
A financial organization is developing an AI model for credit risk assessment. Which of the following is MOST important to ensure the training data supports accurate and unbiased outcomes?
- A. Synthetic data augmentation
- B. Supervised learning
- C. Data normalization
- D. Dataset diversity
Correct Answer: D 🗳️
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An organization plans to license an AI model trained on proprietary data to external partners. Which risk should the risk practitioner prioritize?
- A. Exposure of confidential intellectual property in generated content
- B. Erosion of stakeholder trust due to lack of transparency for model outputs
- C. Use of encrypted data in AI model training
- D. Increased operational costs
Correct Answer: A 🗳️
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A risk practitioner is performing a risk assessment of an AI system that will be used to predict failures in aircraft components. Which of the following is the MOST important design consideration in this context?
- A. Capacity to handle rapid increases in sensor input
- B. Integration with existing maintenance systems
- C. Inclusion of maintenance history in training data
- D. Robust safety validation mechanisms
Correct Answer: D 🗳️
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A social media platform uses AI tools to automate real-time content moderation. Which of the following would be of GREATEST concern to a risk practitioner?
- A. Short retention periods for logs containing time stamps of moderation activities
- B. Lack of an appeal process for users falsely accused of violating terms of service
- C. High implementation costs due to computational power requirements
- D. Use of reinforcement learning (RL) techniques for iterative model training
Correct Answer: B 🗳️
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An organization is integrating AI systems into core business operations and has decided to establish a formal process to align AI initiatives with corporate values. Which of the following is the GREATEST benefit of this decision?
- A. The transparency and explainability of AI model decisions is enhanced for all stakeholder groups.
- B. Ethical principles can be added to AI development and usage after deployment.
- C. Executive support for technical training and upskilling related to AI can be more effectively obtained.
- D. Return on investment (ROI) for new AI services can be evaluated more accurately.
Correct Answer: A 🗳️
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