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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Risk Program Management | 42% | - AI Risk Assurance and Continuous Improvement - AI Risk Identification and Assessment - AI Risk Monitoring and Reporting - AI Risk Response and Mitigation |
| AI Life Cycle Risk Management | 21% | - AI Implementation, Maintenance, and Decommissioning - AI Design, Development/Procurement, and Documentation - AI Model Training, Testing, and Validation - AI Data and Asset Management |
| AI Risk Governance and Framework Integration | 37% | - AI Organizational Processes and Alignment - AI Ownership, Oversight, and Accountability - AI Trustworthiness, Ethical and Societal Implications - AI Regulatory Compliance and Legal Considerations - AI Models, Frameworks, Strategies, and Use Cases - AI Policies, Procedures, and Organizational Training |
ISACA Advanced in AI Risk Sample Questions:
Which of the following is the GREATEST benefit of incorporating AI technology for data asset management?
- A. Providing more rapid identification of overfitting during model training
- B. Justifying the use of synthetic data to augment smaller datasets
- C. Automating data cleaning and metadata tagging for large datasets
- D. Reducing the initial impacts of data poisoning and exfiltration attacks
Correct Answer: C 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
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. Supervised learning
- B. Data normalization
- C. Dataset diversity
- D. Synthetic data augmentation
Correct Answer: C 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
When identifying AI risk scenarios for a customer service chatbot, which of the following is MOST important for a risk practitioner to evaluate?
- A. Volume and complexity of training datasets
- B. Selection of encryption methods for customer personal information
- C. Frequency of past incidents involving the chatbot
- D. Severity of adverse effects on critical stakeholders and objectives
Correct Answer: D 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
Which of the following is the PRIMARY benefit of rigorously testing and validating AI models prior to deployment into production?
- A. Reducing the frequency of post-deployment monitoring activities
- B. Improving regulatory compliance posture and readiness
- C. Minimizing risk related to inaccurate or biased decision outputs
- D. Maximizing average-case accuracy on training data
Correct Answer: C 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
Which of the following is the MOST important consideration when assessing risk for an AI system provided by a third party, as opposed to a non-AI related system?
- A. More stringent authentication requirements for access to core AI system functionalities
- B. The use of quantitative data as a primary input to inform risk assessments
- C. Greater emphasis on continuous monitoring due to the dynamically evolving nature of AI models
- D. Reduced reliance on structured frameworks or methodologies to assess impact and likelihood
Correct Answer: C 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
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