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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Life Cycle Risk Management | 21% | - AI Design, Development/Procurement, and Documentation - AI Model Training, Testing, and Validation - AI Data and Asset Management - AI Implementation, Maintenance, and Decommissioning |
| Topic 2: AI Risk Program Management | 42% | - AI Risk Assurance and Continuous Improvement - AI Risk Response and Mitigation - AI Risk Identification and Assessment - AI Risk Monitoring and Reporting |
| Topic 3: AI Risk Governance and Framework Integration | 37% | - AI Policies, Procedures, and Organizational Training - AI Trustworthiness, Ethical and Societal Implications - AI Organizational Processes and Alignment - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases - AI Regulatory Compliance and Legal Considerations |
ISACA Advanced in AI Risk Sample Questions:
Which of the following is the GREATEST risk when organizational risk tolerance is not embedded into AI policies?
- A. Inconsistent governance decisions that fail to mitigate unacceptable impacts
- B. Insufficient monitoring of accuracy and bias in AI model responses
- C. Overly prescriptive controls inhibiting organizational innovation
- D. Inaccurate classification of emerging risk related to AI system vulnerabilities
Correct Answer: A 🗳️
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Which of the following is the PRIMARY concern associated with AI-based attacks on systems that store personal data?
- A. Data integrity testing may reveal personal data change logs.
- B. Vulnerabilities exploitable by AI-based attacks may be more difficult to identify.
- C. The cost of acquiring and vetting synthetic data to replace personal data may be prohibitive.
- D. AI models may be able to identify combinations of attributes that can be used to re-identify individuals.
Correct Answer: D 🗳️
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Which of the following is the MOST important consideration when managing changes to an AI model in production?
- A. Expediting rollout of changes in production to ensure service continuity and minimize downtime
- B. Allowing operational teams to adjust configuration parameters for real-time performance tuning
- C. Conducting rigorous validation to assess effects on predictive accuracy and model bias
- D. Implementing stringent approval processes for user access to new model functionalities
Correct Answer: C 🗳️
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A risk practitioner discovers that autonomous agents have been creating temporary HR system identities.
Which of the following poses the GREATEST risk?
- A. Increased staffing needs for human validation
- B. Delays in breach identification and response
- C. Identities are not incorporated into the federated system
- D. Ineffective credential management
Correct Answer: C 🗳️
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Which of the following is the GREATEST concern when an organization cannot clearly explain an AI system
' s decision-making process and the origin of its inputs?
- A. Increased dependence on external AI service providers for managing AI system risk throughout its life cycle
- B. Inability to detect discriminatory or inaccurate outputs that expose the organization to regulatory and reputational risk
- C. Heightened reliance on manual review resulting in approval bottlenecks and slower response times
- D. Decrease in AI adoption rates within business units who are regularly responsible for critical decisions
Correct Answer: B 🗳️
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