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| Section | Weight | Objectives |
|---|---|---|
| AI Life Cycle Risk Management | 21% | - AI Data and Asset Management - AI Model Training, Testing, and Validation - AI Implementation, Maintenance, and Decommissioning - AI Design, Development/Procurement, and Documentation |
| AI Risk Governance and Framework Integration | 37% | - AI Organizational Processes and Alignment - AI Models, Frameworks, Strategies, and Use Cases - AI Policies, Procedures, and Organizational Training - AI Ownership, Oversight, and Accountability - AI Regulatory Compliance and Legal Considerations - AI Trustworthiness, Ethical and Societal Implications |
| AI Risk Program Management | 42% | - AI Risk Assurance and Continuous Improvement - AI Risk Monitoring and Reporting - AI Risk Identification and Assessment - AI Risk Response and Mitigation |
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NEW QUESTION # 14
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 # 15
Which of the following is the PRIMARY concern associated with AI-based attacks on systems that store personal data?
Answer: D
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. AI-enabled re-identification is a direct privacy risk because models can combine attributes that appear harmless in isolation and infer an individual identity. This can defeat ordinary masking or pseudonymization and create regulatory exposure even when direct identifiers are absent. This makes option C, AI models may be able to identify combinations of attributes that can be used to re-identify individuals, 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 # 16
Which of the following is the PRIMARY reason to include contractual requirements for model updates and disclosures from third-party AI suppliers?
Answer: A
Explanation:
Third-party AI suppliers introduce significant risk through model updates, changes in training data, and modifications to system behavior. Contractual disclosure requirements ensure the acquiring organization can maintain active risk oversight despite not controlling the vendor's development processes.
Why B is Correct: The ISACA AAIR framework emphasizes that third-party AI contracts must protect against harms arising from undisclosed changes. When vendors make silent updates to models, the acquiring organization cannot assess new risks before they affect users, decisions, or regulated outcomes. Timely disclosure requirements enable proactive risk detection and mitigation before individuals are harmed.
Why A is Wrong: Availability guarantees are service-level concerns addressed by SLA provisions. While important operationally, they do not address the risk management imperative of understanding what changes have been made to AI models.
Why C is Wrong: Internal trust-building is a change management consideration, not the primary purpose of contractual disclosure requirements. Contracts address risk obligations, not organizational confidence.
Why D is Wrong: Vendor staff access to sensitive datasets is a data access and privacy concern addressed through data processing agreements and access controls, not model update disclosure requirements.
NEW QUESTION # 17
Which of the following is the PRIMARY benefit of using AI-based data analytic tools to monitor AI system risk?
Answer: D
Explanation:
AI systems generate large volumes of operational data-model outputs, query logs, performance metrics, system telemetry. AI-powered analytics tools can process this data at scale and speed to identify subtle patterns that indicate developing vulnerabilities before they manifest as incidents.
Why B is Correct: According to ISACA AAIR monitoring and analytics guidance, the primary benefit of AI- based risk monitoring tools is their ability to identify latent vulnerabilities through anomaly detection in large datasets. Human analysts cannot process the volume and velocity of data produced by AI systems at sufficient scale to detect subtle, early-stage indicators of emerging risks. AI-powered analytics provide this capability- identifying patterns that precede security incidents, model failures, or compliance violations.
Why A is Wrong: Industry trend forecasting is a strategic risk intelligence activity. While valuable for planning, it represents a secondary, external-facing use of AI analytics rather than the primary benefit of monitoring organizational AI system risks.
Why C is Wrong: Access attempt logging and documentation are security event recording functions. While comprehensive logging is important for audit trails, the primary benefit of AI analytics is pattern detection across that logged data-not the logging activity itself.
Why D is Wrong: Automation of risk analysis and treatment decisions is a contested application of AI in risk management. Human judgment in risk treatment decisions is typically retained as a governance requirement.
Removing human involvement from treatment decisions is not the primary benefit of AI monitoring tools.
NEW QUESTION # 18
Which of the following poses the GREATEST risk during the development phase of an AI system?
Answer: C
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. Data poisoning can corrupt the learning process before deployment and embed harmful or biased behavior into the resulting model. Because it attacks training-data integrity directly, inadequate poisoning mitigation is a major development-phase risk. This makes option A, Inadequate mitigation of data poisoning attacks, 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 # 19
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