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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Life Cycle Risk Management | 21% | - AI Data and Asset Management - AI Implementation, Maintenance, and Decommissioning - AI Design, Development/Procurement, and Documentation - AI Model Training, Testing, and Validation |
| AI Risk Program Management | 42% | - AI Risk Identification and Assessment - AI Risk Response and Mitigation - AI Risk Monitoring and Reporting - AI Risk Assurance and Continuous Improvement |
| AI Risk Governance and Framework Integration | 37% | - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment - AI Trustworthiness, Ethical and Societal Implications - AI Policies, Procedures, and Organizational Training - AI Regulatory Compliance and Legal Considerations |
ISACA Advanced in AI Risk Sample Questions:
A risk practitioner is reviewing the training data collection process for a new AI model. Which practice best reduces the risk of model bias?
- A. Prohibit the use of public and open-source datasets for model training.
- B. Maximize the number of input samples collected to ensure diversity.
- C. Ensure input samples are representative and relevant.
- D. Apply normalization across all quantitative data for accurate scaling.
Correct Answer: C 🗳️
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Which of the following is the risk practitioner ' s FIRST course of action upon learning that an AI model has been providing responses that are outside predefined thresholds for accuracy?
- A. Document the anomaly for inclusion in periodic accuracy reviews.
- B. Notify designated AI governance owners for decision making.
- C. Inform the AI development team and request a technical review.
- D. Update the risk register with mitigation strategies for addressing the issue.
Correct Answer: B 🗳️
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Which of the following is the MOST important benefit of deploying continuous monitoring and automated anomaly detection for AI models in production?
- A. Timely identification of adversarial intrusions and unauthorized parameter changes
- B. Enhanced interpretability and transparency of model decisions
- C. Automated risk register and vulnerability database updates
- D. Improved alignment of model outputs and behavior with organizational strategic goals
Correct Answer: A 🗳️
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Which of the following is the PRIMARY purpose of embedding human-centered values into AI governance frameworks?
- A. Mitigating societal and environmental risk
- B. Ensuring AI model transparency and explainability
- C. Adhering to regulations for human resource management
- D. Preserving organizational legitimacy
Correct Answer: A 🗳️
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Which of the following AI techniques BEST helps to improve the accuracy of responses provided by a large language model (LLM) without extensive retraining?
- A. Retrieval-augmented generation (RAG)
- B. Deep learning
- C. Natural language generation (NLG)
- D. Sentiment analysis
Correct Answer: A 🗳️
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