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| Section | Objectives |
|---|---|
| Topic 1: AI Governance and Strategy | - AI governance frameworks and organizational oversight
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| Topic 2: Regulatory and Compliance Requirements | - Global AI regulatory landscape
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| Topic 3: Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
| Topic 4: AI Risk Management | - Risk identification and assessment for AI systems
|
| Topic 5: AI Lifecycle Controls | - Controls across AI development lifecycle
|
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NEW QUESTION # 54
Which of the following should be the PRIMARY consideration when developing AI risk awareness training?
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. AI risk awareness training must remain current because threats, attack techniques, model capabilities, and regulatory expectations evolve rapidly. Static training quickly becomes obsolete, so content should be refreshed to reflect emerging AI-specific risks and attack patterns. This makes option B, Ensuring contents are regularly updated to reflect new AI threats, 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 # 55
A risk practitioner assesses a new AI system and determines that the risk is within the organization ' s risk tolerance. Which of the following is the BEST recommendation to ensure system controls remain effective over time?
Answer: C
NEW QUESTION # 56
An organization plans to deploy AI for customer service automation. Which of the following governance approaches BEST aligns culture and risk tolerance?
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. Governance should scale controls to the impact of the customer-service AI system and involve business stakeholders so the control environment reflects risk tolerance and gains operational support. Monitoring alone does not create cultural alignment. This makes option C, Scale controls to AI system impact and involve business stakeholders to obtain buy-in, 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 # 57
A risk practitioner is developing new risk scenarios related to an organization ' s use of AI tools to predict industrial equipment failures. Which of the following is MOST important for the risk practitioner to verify?
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. Predictive-maintenance models can become unreliable when equipment behavior, operating conditions, or sensor relationships change. The practitioner should verify that the model can adapt to changing operational conditions rather than merely checking software version or end-user training effort. This makes option C, The model is capable of adjusting quickly to changes in operational conditions, 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 # 58
When aligning AI risk management with enterprise risk management (ERM), which of the following MOST effectively establishes consistent oversight and decision-making?
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.
Standardized AI risk metrics and reporting allow management to compare AI exposure consistently with other enterprise risks and make decisions against common thresholds. A separate AI silo or purely technical control catalog does not provide the same enterprise-wide oversight. This makes option D, Standardizing AI risk metrics and reporting, 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 # 59
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