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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Program Management | 42% | - AI Risk Assurance and Continuous Improvement - AI Risk Monitoring and Reporting - AI Risk Identification and Assessment - AI Risk Response and Mitigation |
| Topic 2: AI Risk Governance and Framework Integration | 37% | - AI Regulatory Compliance and Legal Considerations - AI Ownership, Oversight, and Accountability - AI Policies, Procedures, and Organizational Training - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment - AI Trustworthiness, Ethical and Societal Implications |
| Topic 3: AI Life Cycle Risk Management | 21% | - AI Model Training, Testing, and Validation - AI Design, Development/Procurement, and Documentation - AI Data and Asset Management - AI Implementation, Maintenance, and Decommissioning |
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NEW QUESTION # 105
Which of the following is the GREATEST risk when AI governance fails to incorporate stakeholder perspectives in policy and design decisions?
Answer: C
Explanation:
Within the ISACA Advanced in AI Risk framework, governance decisions should align AI use with policy, accountability, stakeholder expectations, risk appetite, and applicable legal or ethical obligations. Excluding stakeholder perspectives can produce AI behavior and outputs that do not match the intended business case, affected-user needs, or acceptable values. Governance must incorporate those perspectives so technical success does not become business or societal misalignment. This makes option A, Misalignment of AI behavior and outputs with expected business cases, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk- management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
NEW QUESTION # 106
Which of the following is the GREATEST risk associated with relying on AI-based analytics for continuous monitoring?
Answer: C
Explanation:
Within the ISACA Advanced in AI Risk framework, program management connects risk identification, control selection, treatment, monitoring, resilience, third-party oversight, and reporting to enterprise risk objectives. AI analytics may misinterpret activity when it lacks contextual understanding, producing false positives or missing meaningful risks. This can directly undermine continuous monitoring decisions, making contextual model error more significant than cost or legacy integration issues. This makes option B, Model errors caused by inability to understand context, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk- management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
NEW QUESTION # 107
An organization intends to implement an AI system that poses significant societal risk and interfaces with critical infrastructure and public services. Which of the following is the BEST course of action?
Answer: C
Explanation:
High-risk AI systems-particularly those affecting critical infrastructure and public services-require rigorous pre-deployment assessment to identify potential harms, regulatory obligations, and societal impacts before they affect people or essential services.
Why A is Correct: The ISACA AAIR framework, consistent with emerging AI regulations (including the EU AI Act's requirements for high-risk systems), mandates comprehensive pre-launch impact assessment for systems posing significant societal risk. This assessment must cover adverse impact scenarios, applicable compliance obligations, and mitigation measures. Acting before deployment prevents irreversible harm and demonstrates responsible governance to regulators and the public.
Why B is Wrong: External consultants can support impact assessment but cannot substitute for the organization's own comprehensive evaluation and accountability. External expertise supplements internal assessment; it does not replace the organization's obligation to assess and take responsibility.
Why C is Wrong: Restricting disclosure conflicts with regulatory transparency requirements for high-risk AI systems. Many jurisdictions require explainability and disclosure for systems affecting public services. IP protection cannot override public safety obligations.
Why D is Wrong: Parallel model evaluation is a technical testing method that quantifies operational performance. It does not constitute the comprehensive societal impact and compliance assessment required for high-risk deployment.
NEW QUESTION # 108
A risk practitioner learns that a credit-scoring AI system is exhibiting bias that cannot be eliminated through further training. Which of the following is the risk practitioner's BEST recommendation?
Answer: C
Explanation:
Credit scoring AI systems are subject to anti-discrimination regulations that prohibit using models that produce biased outcomes affecting protected classes. When bias cannot be eliminated through technical means, continuing to operate the system creates ongoing legal violations and harm to affected individuals.
Why B is Correct: According to ISACA AAIR risk treatment guidance and legal compliance obligations, removing a biased credit-scoring system from production is the appropriate response when bias cannot be technically remediated. Continuing to operate a system known to produce discriminatory credit decisions violates anti-discrimination laws (such as the Equal Credit Opportunity Act), exposes the organization to regulatory enforcement, and causes ongoing harm to affected borrowers. Risk avoidance through system withdrawal is the appropriate treatment when the risk cannot be adequately mitigated.
Why A is Wrong: Requesting senior management risk acceptance for confirmed legal violations is inappropriate because organizations cannot accept risks involving known regulatory breaches. Senior management cannot legitimately authorize continued discriminatory lending practices.
Why C is Wrong: Sourcing a replacement system is a necessary future action but takes time to procure, validate, and deploy. In the interim, the biased system should not continue operating. Removing the system from production should precede replacement planning.
Why D is Wrong: Applying compensating controls to generate offsetting biases compounds the discriminatory problem rather than resolving it. Deliberately introducing additional bias-even in the opposite direction-creates an unpredictably biased model that does not produce fair outcomes.
NEW QUESTION # 109
An electricity provider uses an AI model to forecast and detect outages in power grids. Which of the following is the MOST important consideration to ensure the accuracy of model outputs?
Answer: C
Explanation:
Within the ISACA Advanced in AI Risk framework, life-cycle controls should protect data quality, model design, testing, validation, monitoring, change management, and secure retirement of AI systems. Grid-outage prediction depends on current operational conditions, so real-time sensor data is essential to model accuracy.
Access monitoring and geographic processing improve security or resilience, while manual entry cannot provide the same continuous signal. This makes option A, Integration of real-time sensor data, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
NEW QUESTION # 110
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