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| Section | Objectives |
|---|---|
| AI Lifecycle Controls | - Controls across AI development lifecycle
|
| Regulatory and Compliance Requirements | - Global AI regulatory landscape
|
| AI Governance and Strategy | - AI governance frameworks and organizational oversight
|
| AI Risk Management | - Risk identification and assessment for AI systems
|
| Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
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86. Frage
Which of the following is the PRIMARY purpose of embedding human-centered values into AI governance frameworks?
Antwort: B
Begründung:
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.
87. Frage
A risk practitioner discovers that an AI chatbot stores user interactions indefinitely. Which of the following is the MOST appropriate mitigation?
Antwort: D
Begründung:
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.
88. Frage
Which of the following is the BEST way to integrate AI risk management into operational procedures?
Antwort: B
Begründung:
Embedding AI risk management into operations requires that risk assessment activities be integrated throughout the AI development and deployment life cycle, not applied only at discrete checkpoints. This life cycle integration ensures risks are identified and addressed at the stages where they can be most effectively mitigated.
Why C is Correct: The ISACA AAIR curriculum identifies life cycle-integrated risk assessment as the most effective operational integration approach. By introducing risk assessment stages throughout development and deployment-at design, data collection, model training, testing, and deployment-organizations catch risks before they are built into the system. This proactive approach is far more effective than retrospective assessment.
Why A is Wrong: Organization-wide training increases risk awareness but represents an enabler rather than an operational integration mechanism. Training alone does not embed risk practices into workflows.
Why B is Wrong: Third-party audits provide periodic independent assurance but occur infrequently and reactively. They cannot substitute for continuous, integrated risk assessment throughout operations.
Why D is Wrong: Requiring risk committee approval for automation changes creates a governance checkpoint at one decision point. This is narrower than integrating risk assessment across all development and deployment stages and may create bottlenecks without proportionate risk management benefit.
89. Frage
A rideshare organization is considering the use of AI for dynamic surge pricing. Which of the following is the MOST important risk to evaluate?
Antwort: B
Begründung:
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. Dynamic surge pricing directly affects customers and market behavior, creating legal and competition-law exposure that can be more consequential than integration, compute, or ordinary model-staleness issues. Regulatory scrutiny can lead to penalties and restrictions. This makes option B, Potential regulatory inquiries for anti- competitive AI pricing practices, 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.
90. Frage
Which of the following is the PRIMARY purpose of AI-driven classification controls such as image recognition or text sentiment analysis?
Antwort: C
Begründung:
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.
Classification techniques are designed to assign inputs to defined categories, so their primary operational objective is reliable prediction or categorization. They do not inherently prevent poisoning or determine data quality, and classification is commonly supervised rather than unsupervised. This makes option C, Enhancing predictive accuracy, 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.
91. Frage
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