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| Section | Weight | Objectives |
|---|---|---|
| AI Risk Governance and Framework Integration | 37% | - AI Organizational Processes and Alignment - AI Ownership, Oversight, and Accountability - AI Trustworthiness, Ethical and Societal Implications - AI Policies, Procedures, and Organizational Training - AI Models, Frameworks, Strategies, and Use Cases - AI Regulatory Compliance and Legal Considerations |
| AI Life Cycle Risk Management | 21% | - AI Implementation, Maintenance, and Decommissioning - AI Design, Development/Procurement, and Documentation - AI Model Training, Testing, and Validation - AI Data and Asset Management |
| AI Risk Program Management | 42% | - AI Risk Assurance and Continuous Improvement - AI Risk Monitoring and Reporting - AI Risk Response and Mitigation - AI Risk Identification and Assessment |
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NEW QUESTION # 82
An organization plans to license an AI model trained on proprietary data to external partners. Which risk should the risk practitioner prioritize?
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. Licensing a model trained on proprietary information creates a material risk that confidential intellectual property may be memorized or surfaced in generated outputs. Encryption during training does not eliminate output leakage, and transparency concerns are secondary to direct IP exposure. This makes option D, Exposure of confidential intellectual property in generated content, 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 # 83
Which of the following is the PRIMARY benefit of establishing a cross-functional AI governance committee?
Answer: A
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 # 84
Which of the following is the PRIMARY purpose of maintaining comprehensive model cards and documentation?
Answer: D
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 # 85
An organization plans to deploy a generative AI system that processes sensitive personal data across multiple countries with varying privacy laws. Which of the following is the BEST course of action to manage legal and regulatory exposure?
Answer: D
Explanation:
Multi-jurisdictional AI deployment requires jurisdiction-specific compliance strategies because privacy and data protection laws vary significantly across countries. A one-size-fits-all approach frequently fails to meet local requirements, while post-deployment remediation creates legal exposure during the gap period.
Why B is Correct: According to ISACA AAIR guidance, the best approach to multi-jurisdictional compliance is to tailor controls to each relevant statutory framework before deployment and maintain audit trails that demonstrate adherence. This proactive, documented approach reduces legal exposure, satisfies regulatory examination requirements, and enables the organization to demonstrate accountability-a key requirement of frameworks like GDPR.
Why A is Wrong: Post-deployment remediation means the organization is non-compliant during deployment, which creates immediate regulatory exposure. Iterative fixes after harm has occurred are inadequate for protecting individuals or the organization.
Why C is Wrong: Uniform global policies cannot satisfy jurisdictions with conflicting requirements-some laws mandate data residency within borders, making cross-border transfer impossible regardless of encryption strength.
Why D is Wrong: Restricting disclosure of model operations conflicts with transparency requirements embedded in many privacy laws, including GDPR's right to explanation. IP protection cannot override regulatory disclosure obligations.
NEW QUESTION # 86
After which of the following events is it MOST important to update risk ratings?
Answer: B
Explanation:
Risk ratings must be maintained as current assessments of organizational risk exposure. Events that materially change the risk profile-particularly those indicating active harm or regulatory violations-require immediate risk rating updates to ensure governance responses are calibrated to the current risk reality.
Why A is Correct: According to ISACA AAIR risk monitoring and review guidance, the discovery of discriminatory outputs from an AI system represents a material change in risk exposure that requires immediate risk rating updates. Discriminatory outputs indicate active harm to individuals, regulatory violations, and significant legal and reputational exposure. This event fundamentally changes the risk profile from a potential to an actual harm, requiring escalated risk ratings and treatment responses.
Why B is Wrong: Adding new monitoring metrics improves risk detection capability but does not change the underlying risk levels. New metrics may subsequently detect risks requiring rating updates, but their addition alone is an operational change, not a risk level change.
Why C is Wrong: Vulnerability patch deployment reduces risk by closing specific security gaps, which may lower risk ratings but is less urgent than updating ratings to reflect active harm discovery. Patching is a remediation activity; discriminatory outputs represent ongoing harm requiring immediate escalation.
Why D is Wrong: Creating an oversight committee improves governance capability but does not change the risk profile of AI systems. Governance structure changes affect the organization's ability to manage risk; they do not affect the risk levels themselves.
NEW QUESTION # 87
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