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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Governance and Framework Integration | 37% | - AI Regulatory Compliance and Legal Considerations - AI Ownership, Oversight, and Accountability - AI Trustworthiness, Ethical and Societal Implications - AI Policies, Procedures, and Organizational Training - AI Organizational Processes and Alignment - AI Models, Frameworks, Strategies, and Use Cases |
| Topic 2: AI Risk Program Management | 42% | - AI Risk Monitoring and Reporting - AI Risk Identification and Assessment - AI Risk Assurance and Continuous Improvement - AI Risk Response and Mitigation |
| Topic 3: AI Life Cycle Risk Management | 21% | - AI Implementation, Maintenance, and Decommissioning - AI Design, Development/Procurement, and Documentation - AI Data and Asset Management - AI Model Training, Testing, and Validation |
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NEW QUESTION # 68
Which of the following is the GREATEST societal risk posed by the dissemination of deepfakes created with AI image generation technology?
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. Deepfakes can fabricate convincing audio, images, or video at scale and therefore create a major societal risk of misinformation, manipulation, and erosion of public trust. IP or privacy harms can occur, but misinformation is the broadest societal exposure. This makes option C, Widespread misinformation, 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 # 69
Which of the following is the GREATEST concern when an organization cannot clearly explain an AI system's decision-making process and the origin of its inputs?
Answer: B
Explanation:
Explainability and input transparency are foundational requirements for responsible AI governance. When these are absent, organizations lose the ability to identify when AI systems produce harmful, biased, or inaccurate results-leaving those harms undetected and unaddressed.
Why C is Correct: According to ISACA AAIR, the inability to explain AI decisions is most dangerous because it creates an environment where discriminatory or inaccurate outputs can persist undetected. This exposes the organization to regulatory penalties (particularly under anti-discrimination, financial services, and privacy laws), reputational damage, and harm to affected individuals. The detection gap-not knowing what the system is doing wrong-is the core governance failure.
Why A is Wrong: External provider dependence is a third-party risk management concern. While relevant, it is a structural risk that can be addressed through contract management, not an immediate consequence of lacking explainability.
Why B is Wrong: Declining adoption rates represent a change management and trust concern. Business unit reluctance to adopt AI is a cultural and operational issue, not the primary risk from unexplainable AI decisions.
Why D is Wrong: Manual review bottlenecks represent operational inefficiency. They may result from lack of confidence in AI outputs but do not represent the primary organizational harm from unexplainability.
NEW QUESTION # 70
Which of the following is the PRIMARY benefit of establishing a cross-functional AI governance committee?
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. A cross- functional AI governance committee coordinates legal, privacy, security, business, data, and operational perspectives so AI use is managed consistently across the enterprise. Version control or individual human review are specific activities rather than the committee ' s primary benefit. This makes option D, Coordinated management of AI use 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 # 71
A risk practitioner is assessing risk in a newly implemented AI system integrated into an organization's business processes. Which of the following is the MOST important consideration for the risk practitioner?
Answer: A
Explanation:
AI risk assessment must be calibrated to the potential consequences of AI-driven decisions. The criticality and impact of AI-driven decisions directly determine the magnitude of risk exposure and the appropriate level of risk treatment.
Why D is Correct: According to ISACA AAIR principles, the most fundamental risk assessment consideration is the nature and impact of decisions driven by the AI system. Systems making high-stakes decisions-affecting employment, credit, healthcare, or public safety-carry significantly greater risk than those supporting low-impact tasks. Understanding decision criticality frames all other risk assessment activities and drives proportionate control selection.
Why A is Wrong: Escalation protocols are governance process elements that should be designed after understanding the risk profile. They are outputs of risk assessment, not inputs to the primary assessment consideration.
Why B is Wrong: Prior automation levels provide contextual background but do not determine the risk profile of the new AI system. The relevant risk driver is forward-looking, not historical.
Why C is Wrong: Internal expertise levels affect assessment capability but represent an organizational constraint rather than the primary risk consideration. The risk lies in the system's potential impact, not in who assesses it.
NEW QUESTION # 72
Which of the following is the GREATEST risk when an AI system requires a specific safeguard that cannot be put in place because of technical constraints?
Answer: D
Explanation:
When required safeguards cannot be technically implemented, the risk they were designed to mitigate remains unaddressed. This creates a residual exposure gap where the AI system operates with known, unmitigated vulnerabilities-a fundamental risk management failure for the identified threat.
Why A is Correct: The ISACA AAIR risk treatment guidance identifies elevated residual exposure from absent controls as the greatest risk when required safeguards cannot be implemented. Every required safeguard addresses a specific risk exposure. When that safeguard is technically infeasible, the risk it was designed to prevent remains fully present. This unmitigated exposure may exceed the organization's risk tolerance and require escalation to senior management for risk acceptance or alternative treatment decisions.
Why B is Wrong: Training dataset restrictions relate to model development constraints, not directly to the inability to implement a specific runtime safeguard. This is a separate concern that may arise in some technical constraint scenarios but is not the primary risk of an absent safeguard.
Why C is Wrong: User experience degradation is an operational quality concern. Performance impacts from technical constraints are a usability issue rather than a risk exposure representing the greatest organizational concern.
Why D is Wrong: Operational inefficiency and manual process dependencies are resource and process concerns. While relevant to operational cost and effectiveness, they do not represent the primary risk of an unmitigated security or safety exposure from an absent safeguard.
NEW QUESTION # 73
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