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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Life Cycle Risk Management | 21% | - AI Data and Asset Management - AI Design, Development/Procurement, and Documentation - AI Implementation, Maintenance, and Decommissioning - AI Model Training, Testing, and Validation |
| Topic 2: AI Risk Governance and Framework Integration | 37% | - AI Organizational Processes and Alignment - AI Regulatory Compliance and Legal Considerations - AI Policies, Procedures, and Organizational Training - AI Ownership, Oversight, and Accountability - AI Trustworthiness, Ethical and Societal Implications - AI Models, Frameworks, Strategies, and Use Cases |
| Topic 3: AI Risk Program Management | 42% | - AI Risk Response and Mitigation - AI Risk Identification and Assessment - AI Risk Assurance and Continuous Improvement - AI Risk Monitoring and Reporting |
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NEW QUESTION # 149
Which of the following is the GREATEST organizational risk when AI performance alerts are not escalated to decision-makers for review and decisioning?
Answer: B
Explanation:
AI performance alerts signal emerging issues with model behavior-accuracy degradation, anomalous outputs, drift-that require prompt management attention and decision-making. When these alerts are not escalated, corrective actions are delayed and AI system instability can escalate into serious operational incidents.
Why B is Correct: The ISACA AAIR operational risk management guidance identifies business disruption from delayed remediation as the greatest risk from alert escalation failures. When performance alerts are suppressed or not acted upon, unstable AI behavior continues and potentially worsens until it produces visible failures-system outages, incorrect critical decisions, customer harm-that disrupt business operations. The gap between alert generation and remediation is the window during which the AI system can cause the most damage.
Why A is Wrong: Governance reporting gaps represent a compliance and oversight concern but are secondary to the operational reality of unstable AI causing business disruption. Reporting gaps are administrative failures; operational disruption is the consequential business harm.
Why C is Wrong: Redundant mitigation activities might arise when issues are addressed without coordination, but this is an efficiency concern. The greater risk is that without escalation, no mitigation activities are initiated at all-the opposite of redundancy.
Why D is Wrong: Decision logging gaps affect traceability and auditability. While important for governance purposes, logging failures do not represent the most immediate operational risk from failing to escalate performance alerts to decision-makers.
NEW QUESTION # 150
Which of the following is the PRIMARY benefit of incorporating new AI-specific controls?
Answer: C
Explanation:
AI systems introduce new categories of risk-model drift, adversarial attacks, algorithmic bias, hallucination-that conventional IT controls were not designed to address. AI-specific controls must complement existing controls to create comprehensive coverage across both traditional and emerging risk domains.
Why C is Correct: The ISACA AAIR curriculum identifies the holistic, comprehensive coverage of both conventional governance exposures and emerging AI vulnerabilities as the primary benefit of AI-specific controls. By designing controls that address AI-unique risks while integrating with existing governance structures, organizations achieve end-to-end risk management without creating coverage gaps between the old and new control environments.
Why A is Wrong: Compliance reporting prioritization is a governance administration activity. While AI- specific controls may clarify compliance requirements, identifying and prioritizing reporting requirements is not the primary purpose of implementing new controls.
Why B is Wrong: Cost reduction through control consolidation is an efficiency benefit that may result from control rationalization but is not the primary benefit of incorporating AI-specific controls. Adding necessary controls may actually increase costs in the short term.
Why D is Wrong: Accelerating deployment through efficient pre-deployment analysis is an operational efficiency benefit. The primary governance purpose of AI-specific controls is comprehensive risk coverage, not deployment speed.
NEW QUESTION # 151
Which of the following AI techniques BEST helps to improve the accuracy of responses provided by a large language model (LLM) without extensive retraining?
Answer: D
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. Retrieval- augmented generation improves LLM responses by retrieving relevant external information at inference time and supplying it as context. This can improve grounding and currency without extensive retraining of the underlying model. This makes option B, Retrieval-augmented generation (RAG), 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 # 152
An organization is launching multiple generative AI use cases. The risk practitioner needs to ensure that AI risk decisions align with business objectives and approved risk boundaries of the enterprise.
What is the best action to take?
Answer: B
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. AI risk should be explicitly included in enterprise risk appetite and tolerance so use cases are judged against approved business boundaries. A risk register and data controls are useful, but appetite and tolerance connect treatment decisions directly to business objectives. This makes option D, Include AI in risk appetite and tolerance, 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 # 153
An organization formally accepts residual risk for a low-impact AI capability after confirming it falls within the enterprise risk tolerance.
What is the primary benefit of this risk acceptance action?
Answer: A
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. When residual risk is within tolerance and affects non-critical functions, formal acceptance is proportionate and allows scarce mitigation resources to be directed toward higher-impact exposures.
Acceptance must still be documented and monitored rather than treated as inaction. This makes option A, It enables the allocation of mitigation resources to more critical AI-specific issues, 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 # 154
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