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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Life Cycle Risk Management | - AI bias, drift, transparency, and control evaluation - AI model and data risk identification - AI development, deployment, and monitoring risks | |
| Topic 2: AI Risk Program Management | 42% | - Enterprise AI risk program design - AI risk assessment and treatment strategies - AI risk monitoring and continuous improvement - AI governance communication and reporting |
| Topic 3: AI Risk Governance and Framework Integration | 37% | - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment - AI Ownership, Oversight, and Accountability |
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NEW QUESTION # 179
A risk practitioner discovers that an AI chatbot stores user interactions indefinitely. Which of the following is the MOST appropriate mitigation?
Answer: A
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. Indefinite chatbot retention creates unnecessary privacy and breach exposure. Automated retention limits linked to documented consent or purpose ensure records are kept only as long as justified while still accommodating legitimate legal, operational, or audit requirements. This makes option B, Automate retention limits linked to documented consent, 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 # 180
An organization deploys an autonomous system that makes decisions affecting compliance with regulations.
If those decisions could potentially produce regulatory breaches, which of the following BEST helps to manage associated liability exposures?
Answer: A
Explanation:
Liability from autonomous AI decisions affecting regulatory compliance requires organizations to demonstrate accountability, oversight, and control. Documentation of decision rationale and embedded oversight controls are the primary mechanisms for demonstrating responsible governance to regulators.
Why B is Correct: The ISACA AAIR framework identifies explainability documentation and embedded oversight controls as the key liability management tools for autonomous AI systems. When the organization can demonstrate that each AI decision was explainable, that controls were in place to detect violations, and that human oversight was embedded in the process, this demonstrates due diligence-which is the legal and regulatory standard for managing liability from automated decisions.
Why A is Wrong: Separate compliance programs fragment governance and may increase rather than reduce liability by suggesting AI compliance is siloed from the enterprise compliance program. Regulators expect integrated governance.
Why C is Wrong: Restricting deployment represents risk avoidance, not liability management for already- deployed systems. If the system is already in production, deployment restriction does not address existing liability.
Why D is Wrong: Single-point escalation and non-disclosure create governance bottlenecks and conflict with regulatory transparency requirements. Restricting disclosure cannot be used to shield the organization from regulatory accountability for automated decisions.
NEW QUESTION # 181
Which of the following is the PRIMARY benefit of aligning AI risk management with existing organizational governance frameworks?
Answer: A
Explanation:
Organizational governance frameworks provide the structures, processes, and oversight mechanisms through which enterprises manage their activities and risks. Aligning AI risk management with these frameworks ensures AI activities receive the same level of strategic oversight as other organizational functions.
Why C is Correct: The ISACA AAIR curriculum identifies enterprise-level oversight and strategic alignment as the primary benefit of governance framework integration. When AI risk management operates within established governance structures, AI decisions are subject to the same approval authorities, risk escalation pathways, and strategic alignment checks that govern all major organizational decisions. This produces coherent, enterprise-aware AI governance.
Why A is Wrong: Role development and responsibility clarification are governance activities that may result from alignment, but they represent structural outputs rather than the primary benefit. The benefit is the oversight quality, not the organizational structure itself.
Why B is Wrong: Expediting compliance approvals is an efficiency benefit that may arise from better- organized governance. However, speed of approval is not the primary purpose of framework alignment-the purpose is quality and consistency of oversight.
Why D is Wrong: Standardizing acquisition processes is a procurement function benefit. While governance alignment may improve procurement consistency, standardization is a narrow operational benefit compared to the strategic oversight value of full governance integration.
NEW QUESTION # 182
Which of the following is the MOST effective way to gain insight into an organization ' s exposure to AI- powered threats?
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. Continuous monitoring and behavioral analytics provide the broadest insight into AI-powered threats by detecting anomalies and evolving patterns that may not match known signatures. Static diagrams and signature-only detection are less effective against adaptive attacks. This makes option B, Implement continuous monitoring and behavior analytics, 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 # 183
Which of the following is the GREATEST risk when an AI model is trained on multiple data sources that differ in update frequency and quality?
Answer: A
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. Training from sources with different update frequencies and quality can introduce conflicting, stale, or incomplete information, leading to inconsistent model outputs and operational decisions. Cost and integration issues are secondary to unreliable decision quality. This makes option A, Inconsistency in model outputs and operational decisions, 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 # 184
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