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| Section | Objectives |
|---|---|
| Regulatory and Compliance Requirements | - Global AI regulatory landscape
|
| AI Risk Management | - Risk identification and assessment for AI systems
|
| Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
| AI Governance and Strategy | - AI governance frameworks and organizational oversight
|
| AI Lifecycle Controls | - Controls across AI development lifecycle
|
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NEW QUESTION # 60
Which of the following is the BEST risk response when an organization identifies that ethical and legal exposures from a new non-critical AI system exceeds its risk tolerance?
Answer: D
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 ethical and legal exposures exceed tolerance and the AI system is non-critical, avoidance is the most proportionate response. Acceptance is inappropriate above tolerance, transfer cannot remove all accountability, and mitigation is suitable only if effective controls can reduce exposure sufficiently. This makes option D, Avoidance, 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 # 61
Which of the following is the MOST important reason for a risk practitioner to validate the alignment of a deployed AI model with business requirements?
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. A deployed model must remain aligned with the business requirements for which it was approved. Validation helps detect unintended behavior that may be technically plausible but operationally harmful, inappropriate, or outside the intended use case. This makes option A, To mitigate risk from unintended model behavior, 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 # 62
Which of the following is MOST important to verify when assessing open-source AI components in an organization's supply chain?
Answer: B
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 # 63
An organization seeks to improve AI oversight by incorporating external perspectives regarding potential public harms from AI use. Which of the following is MOST important to consider?
Answer: D
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. External perspectives are best incorporated through formal procedures for engaging affected communities and independent experts. Metrics and post-deployment complaints are useful, but they do not substitute for direct stakeholder participation when assessing public or societal harms. This makes option A, Formal procedures to solicit and prioritize feedback from affected communities and independent experts, 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 # 64
Which of the following is the PRIMARY purpose of embedding human-centered values into AI governance frameworks?
Answer: D
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. Embedding human-centered values in AI governance is intended to reduce societal, safety, ethical, and environmental harms and protect the rights and interests of affected stakeholders. Transparency and organizational legitimacy are related benefits but are narrower outcomes. This makes option C, Mitigating societal and environmental risk, 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 # 65
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