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| Section | Weight | Objectives |
|---|---|---|
| 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 |
| AI Life Cycle Risk Management | - AI model and data risk identification - AI development, deployment, and monitoring risks - AI bias, drift, transparency, and control evaluation | |
| AI Risk Governance and Framework Integration | 37% | - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment - AI Ownership, Oversight, and Accountability |
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NEW QUESTION # 91
Which of the following is the GREATEST organizational risk when AI performance alerts are not escalated to decision-makers for review and decisioning?
Answer: A
Explanation:
AI performance alerts signal emerging issues with model behavior-accuracy degradation, anomalous outputs, drift-that require prompt management attention and decision-making. When these alerts are not escalated, corrective actions are delayed and AI system instability can escalate into serious operational incidents.
Why B is Correct: The ISACA AAIR operational risk management guidance identifies business disruption from delayed remediation as the greatest risk from alert escalation failures. When performance alerts are suppressed or not acted upon, unstable AI behavior continues and potentially worsens until it produces visible failures-system outages, incorrect critical decisions, customer harm-that disrupt business operations. The gap between alert generation and remediation is the window during which the AI system can cause the most damage.
Why A is Wrong: Governance reporting gaps represent a compliance and oversight concern but are secondary to the operational reality of unstable AI causing business disruption. Reporting gaps are administrative failures; operational disruption is the consequential business harm.
Why C is Wrong: Redundant mitigation activities might arise when issues are addressed without coordination, but this is an efficiency concern. The greater risk is that without escalation, no mitigation activities are initiated at all-the opposite of redundancy.
Why D is Wrong: Decision logging gaps affect traceability and auditability. While important for governance purposes, logging failures do not represent the most immediate operational risk from failing to escalate performance alerts to decision-makers.
NEW QUESTION # 92
Which of the following is the PRIMARY benefit of establishing a cross-functional AI governance committee?
Answer: C
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 # 93
A conversational AI accepts unrestricted user text and can be coerced into disclosing secrets or taking harmful actions. Which control MOST effectively reduces this risk?
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. A conversational system exposed to unrestricted text is vulnerable to prompt injection and unsafe output. Runtime input validation and output filtering directly constrain malicious instructions and help prevent disclosure of secrets or harmful actions. This makes option D, Implement runtime input validation and output filtering, 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 # 94
An organization has deployed an AI system that initially performs well but whose outputs deteriorate over time despite stable input characteristics. Which of the following is the BEST course of action?
Answer: B
Explanation:
Output deterioration despite stable inputs is a classic indicator of model drift-specifically concept drift, where the underlying relationships between inputs and targets change over time even when the distribution of inputs appears stable. This requires ongoing monitoring and systematic recalibration.
Why D is Correct: The ISACA AAIR life cycle management guidance identifies continuous performance monitoring and scheduled recalibration as the appropriate response to model drift. Monitoring provides early warning when performance degrades below thresholds, while scheduled recalibration ensures the model is periodically updated to reflect current real-world patterns. This systematic approach prevents continued deterioration and maintains model reliability.
Why A is Wrong: Source code audits and peer reviews address development quality and code integrity, not model drift. Drift is a statistical phenomenon driven by changing data relationships, not code defects that code reviews can identify.
Why B is Wrong: Replacing predictive AI with static rule-based systems eliminates the adaptive capabilities that make AI valuable. Static rules cannot respond to evolving patterns and typically perform worse in dynamic environments.
Why C is Wrong: Dataset cleansing addresses data quality for model retraining but does not establish the ongoing monitoring mechanism needed to detect future drift. A one-time cleansing activity cannot prevent recurrent deterioration.
NEW QUESTION # 95
Which of the following MOST effectively reduces bias resulting from variances in free-form answers in the dataset?
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. Free-form data can contain inconsistent formats, scales, terminology, and representations that distort model learning.
Scaling and standardizing inputs reduces unwanted variance and helps prevent irrelevant formatting differences from becoming sources of bias. This makes option C, Scaling and standardizing inputs, 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 # 96
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