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| Section | Objectives |
|---|---|
| Topic 1: AI Governance and Strategy | - AI governance frameworks and organizational oversight
|
| Topic 2: Regulatory and Compliance Requirements | - Global AI regulatory landscape
|
| Topic 3: Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
| Topic 4: AI Lifecycle Controls | - Controls across AI development lifecycle
|
| Topic 5: AI Risk Management | - Risk identification and assessment for AI systems
|
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NEW QUESTION # 161
Which of the following is MOST important to mitigate risk when integrating third-party AI services into an organization's supply chain?
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. Third-party AI integration requires enforceable allocation of responsibility. Contractual accountability for AI controls clarifies which party must implement, maintain, monitor, and remediate controls across the supplier relationship. This makes option A, Assigning contractual accountability for AI controls, 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 # 162
Which of the following is the GREATEST organizational risk when AI performance alerts are not escalated to decision-makers for review and decisioning?
Answer: C
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 # 163
Which of the following is MOST important to verify when assessing open-source AI components in an organization's supply chain?
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. Open-source AI components should be traceable so the organization can verify origin, dependencies, integrity, licensing, and maintenance history. Geography and cost are secondary, and documentation ownership alone does not establish trustworthy provenance. This makes option A, Traceability for open-source AI artifacts, 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 # 164
Which of the following BEST mitigates the risk of misaligned return on investment (ROI) in AI initiatives?
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. Mapping AI project outcomes to enterprise performance metrics ties investment to measurable organizational value. An inventory improves visibility and workforce metrics measure only one dimension, while a narrow focus on quantifiable benefits can miss strategic value. This makes option C, Mapping AI project outcomes to enterprise performance metrics, 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 # 165
Which of the following is the MOST effective way to ensure identified AI risk is considered in business strategy decisions?
Answer: A
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. Mapping identified AI risks to organizational objectives translates technical exposure into business consequences and ensures risk is considered in strategic decisions. Workshops and vulnerability reports help identify issues but do not create the same direct strategy linkage. This makes option A, Map AI risk to organizational objectives, 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 # 166
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