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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Governance and Framework Integration | 37% | - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment |
| Topic 2: AI Risk Program Management | 42% | - Enterprise AI risk program design - AI risk assessment and treatment strategies - AI governance communication and reporting - AI risk monitoring and continuous improvement |
| Topic 3: AI Life Cycle Risk Management | - AI development, deployment, and monitoring risks - AI bias, drift, transparency, and control evaluation - AI model and data risk identification |
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NEW QUESTION # 173
Which of the following is the PRIMARY purpose of maintaining comprehensive model cards and documentation?
Answer: C
Explanation:
Model cards are standardized documents that communicate key information about AI models, including their intended use, training data, performance characteristics, limitations, and ethical considerations. They serve as a primary transparency instrument in AI governance.
Why D is Correct: According to the ISACA AAIR curriculum, the primary purpose of model cards is to provide transparency to stakeholders-including developers, users, auditors, and regulators. Transparency enables informed decision-making about model deployment, helps identify potential misuse, and supports responsible AI governance across the life cycle.
Why A is Wrong: Justifying use cases is a secondary benefit. Model cards are not primarily advocacy documents; their core function is objective disclosure of model characteristics and limitations.
Why B is Wrong: Preserving audit trails is a governance function served by version control and change management systems. While model cards contribute to audit readiness, it is not their primary purpose.
Why C is Wrong: Technical specifications represent only a subset of model card content. Model cards go beyond technical detail to address fairness, bias, intended use boundaries, and societal impact considerations.
NEW QUESTION # 174
An organization uses AI to generate procedure documents for operational processes. Which of the following would be of GREATEST concern to a risk practitioner?
Answer: D
Explanation:
AI-generated content-including operational procedures-can contain errors, omissions, hallucinations, and contextually inappropriate guidance. Human review is a critical quality control and accountability mechanism that ensures generated procedures are accurate, complete, and appropriate for actual operational use.
Why A is Correct: The ISACA AAIR guidance on human oversight identifies the absence of human review as the greatest risk in AI-generated documentation. Without review, errors and AI hallucinations are propagated directly into operational use, potentially causing safety incidents, compliance violations, or operational failures. Human review is the last line of defense against AI output quality failures, particularly in operational procedure contexts where incorrect instructions can have serious consequences.
Why B is Wrong: Outdated procedures are a content quality issue that would typically be caught during human review. The greater concern is that no review is occurring, which allows all types of errors-including outdated content-to reach operational use unchallenged.
Why C is Wrong: Policy misalignment is a governance concern but represents a specific type of error that would be identified if adequate human review were performed. The absence of review is the root governance failure.
Why D is Wrong: Using AI to generate procedures for high-risk activities is a deployment scope concern that raises the stakes of errors. However, the fundamental governance failure-and the greatest concern-is that no human verification occurs regardless of the risk level of the activity.
NEW QUESTION # 175
Which of the following is the PRIMARY purpose of embedding human-centered values into AI governance frameworks?
Answer: B
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 # 176
Which of the following is the MOST important reason to include AI-specific risk and compliance clauses in vendor contracts?
Answer: A
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. AI-specific contract clauses should clearly allocate liability and responsibilities for breaches affecting models, data, and services. Baseline frameworks and anonymization duties may be included, but enforceable accountability is the key reason for risk-based contracting. This makes option A, Assignment of liability for breaches impacting models and training data, 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 # 177
An organization intends to implement an AI system that poses significant societal risk and interfaces with critical infrastructure and public services. Which of the following is the BEST course of action?
Answer: D
Explanation:
High-risk AI systems-particularly those affecting critical infrastructure and public services-require rigorous pre-deployment assessment to identify potential harms, regulatory obligations, and societal impacts before they affect people or essential services.
Why A is Correct: The ISACA AAIR framework, consistent with emerging AI regulations (including the EU AI Act's requirements for high-risk systems), mandates comprehensive pre-launch impact assessment for systems posing significant societal risk. This assessment must cover adverse impact scenarios, applicable compliance obligations, and mitigation measures. Acting before deployment prevents irreversible harm and demonstrates responsible governance to regulators and the public.
Why B is Wrong: External consultants can support impact assessment but cannot substitute for the organization's own comprehensive evaluation and accountability. External expertise supplements internal assessment; it does not replace the organization's obligation to assess and take responsibility.
Why C is Wrong: Restricting disclosure conflicts with regulatory transparency requirements for high-risk AI systems. Many jurisdictions require explainability and disclosure for systems affecting public services. IP protection cannot override public safety obligations.
Why D is Wrong: Parallel model evaluation is a technical testing method that quantifies operational performance. It does not constitute the comprehensive societal impact and compliance assessment required for high-risk deployment.
NEW QUESTION # 178
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