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| Section | Weight | Objectives |
|---|---|---|
| AI Life Cycle Risk Management | - AI bias, drift, transparency, and control evaluation - AI model and data risk identification - AI development, deployment, and monitoring risks | |
| AI Risk Governance and Framework Integration | 37% | - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment |
| 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 |
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問題 #70
Which of the following is the PRIMARY purpose of maintaining comprehensive model cards and documentation?
答案：B
解題說明：
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.
問題 #71
An organization runs AI workloads on shared cloud infrastructure. Which of the following is the MOST significant risk?
答案：C
解題說明：
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. Shared cloud infrastructure creates confidentiality and integrity exposure for model weights and data. Unauthorized access can disclose proprietary models, sensitive training information, or customer data, making this more significant than cost, latency, or scaling concerns. This makes option B, Unauthorized access to model weights and 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.
問題 #72
An organization plans to deploy AI for customer service automation. Which of the following governance approaches BEST aligns culture and risk tolerance?
答案：C
解題說明：
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.
問題 #73
Which of the following should be the MOST important area of focus during the development of data security risk scenarios specific to AI?
答案：D
解題說明：
AI systems introduce unique security threat vectors that differ fundamentally from conventional IT security scenarios. Risk scenarios must address AI-specific attacks-model poisoning, adversarial inputs, output manipulation-that conventional security frameworks do not cover.
Why A is Correct: The ISACA AAIR AI security risk scenario guidance focuses on attacks that specifically exploit AI system properties-particularly techniques that maliciously alter AI outputs. These AI-specific attack vectors (adversarial examples, model inversion, prompt injection, output manipulation) represent the most important focus for AI security risk scenario development because they target capabilities unique to AI systems and cannot be addressed by repurposing conventional IT security scenarios.
Why B is Wrong: Business unit readiness documentation is a change management and organizational capability assessment activity. It supports AI adoption planning but does not constitute AI security risk scenario development.
Why C is Wrong: Access policy development is an important security control activity but represents control design rather than risk scenario development. Access policies respond to identified risks; they are not themselves risk scenarios.
Why D is Wrong: Quantum encryption is an emerging cryptographic technology addressing future threats to classical encryption. While relevant for long-term data protection planning, it represents a specialized and forward-looking concern rather than the most important focus for current AI security risk scenarios.
問題 #74
An organization is integrating AI systems into core business operations and has decided to establish a formal process to align AI initiatives with corporate values. Which of the following is the GREATEST benefit of this decision?
答案：B
問題 #75
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