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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Risk Program Management | 42% | - AI Risk Monitoring and Reporting - AI Risk Response and Mitigation - AI Risk Identification and Assessment - AI Risk Assurance and Continuous Improvement |
| AI Life Cycle Risk Management | 21% | - AI Data and Asset Management - AI Implementation, Maintenance, and Decommissioning - AI Model Training, Testing, and Validation - AI Design, Development/Procurement, and Documentation |
| AI Risk Governance and Framework Integration | 37% | - AI Trustworthiness, Ethical and Societal Implications - AI Regulatory Compliance and Legal Considerations - AI Organizational Processes and Alignment - AI Policies, Procedures, and Organizational Training - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases |
ISACA Advanced in AI Risk Sample Questions:
Question #1
Which of the following is the BEST way for a risk practitioner to communicate rapidly evolving changes to the organization ' s risk profile resulting from the use of generative AI?
A. Include both critical and non-critical AI risk in reporting to ensure comprehensive risk coverage.
B. Outline future innovation plans and initiatives that leverage AI capabilities.
C. Communicate root causes of unexpected generative AI model and algorithm behavior.
D. Provide real-world examples of risk impacts from generative AI incidents and breaches.
Question #2
An organization has deployed an AI-powered customer service chatbot. Which of the following BEST helps to ensure the chatbot maintains high accuracy in interpreting and answering customer inquiries?
A. Introducing explainable AI techniques and conducting periodic code reviews
B. Adopting vendor-recommended thresholds and conducting benchmarking
C. Measuring intent-classification error rates and refining training datasets
D. Calculating precision and recall scores and increasing model temperature
Question #3
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. Inform the AI development team and request a technical review.
B. Update the risk register with mitigation strategies for addressing the issue.
C. Notify designated AI governance owners for decision making.
D. Document the anomaly for inclusion in periodic accuracy reviews.
Question #4
A conversational AI accepts unrestricted user text and can be coerced into disclosing secrets or taking harmful actions. Which control MOST effectively reduces this risk?
A. Conduct static code analysis on AI source code.
B. Increase the size and diversity of model training datasets.
C. Require role-based access control (RBAC) for users.
D. Implement runtime input validation and output filtering.
Question #5
After which of the following events is it MOST important to update risk ratings?
A. Vulnerability patch deployment for an AI system
B. Discovery of discriminatory outputs from an AI system
C. Addition of new metrics tracked by automated monitoring
D. Creation of a new AI risk oversight committee
Solutions:
| Question #1 Correct Answer: D | Question #2 Correct Answer: C | Question #3 Correct Answer: C | Question #4 Correct Answer: D | Question #5 Correct Answer: B |
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