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| Section | Objectives |
|---|---|
| AI Lifecycle Controls | - Controls across AI development lifecycle
|
| AI Risk Management | - Risk identification and assessment for AI systems
|
| AI Governance and Strategy | - AI governance frameworks and organizational oversight
|
| Regulatory and Compliance Requirements | - Global AI regulatory landscape
|
| Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
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NEW QUESTION # 34
An organization has identified a moderate AI exposure from potential model inaccuracies that could affect internal reporting. The risk falls within the organization's defined tolerance. Which of the following is the BEST course of action?
Answer: C
Explanation:
Risk treatment decisions must be proportionate to the risk level relative to organizational tolerance. When risk falls within defined tolerance, the appropriate treatment is formal acceptance with ongoing monitoring-not escalation of controls or system suspension that would be disproportionate to the risk level.
Why A is Correct: According to ISACA AAIR risk treatment guidance, when identified risk falls within the organization's tolerance threshold, the appropriate response is documented risk acceptance with continued monitoring against thresholds. This proportionate response preserves operational efficiency while maintaining oversight. Implementing controls beyond what the risk level warrants wastes resources and may introduce unnecessary operational disruption.
Why B is Wrong: Aggressively lowering model temperature changes model output characteristics and requires comprehensive retesting-a significant investment of resources. This disproportionate technical response is not warranted for risk that is already within tolerance.
Why C is Wrong: Allocating additional human review resources increases operational costs to manage a risk that the organization has determined is already acceptable. Additional controls beyond tolerance-appropriate levels represent unnecessary risk over-treatment.
Why D is Wrong: Taking the system offline for retraining is a drastic risk avoidance response appropriate only when risk exceeds tolerance or when an active harm is occurring. For risk within tolerance, system suspension is entirely disproportionate and unnecessary.
NEW QUESTION # 35
An organization deploys an autonomous system that makes decisions affecting compliance with regulations.
If those decisions could potentially produce regulatory breaches, which of the following BEST helps to manage associated liability exposures?
Answer: C
NEW QUESTION # 36
Which of the following is the MOST important consideration when managing changes to an AI model in production?
Answer: B
Explanation:
Changes to production AI models-including retraining, parameter updates, and architecture modifications- can alter model behavior in ways that introduce new biases, reduce accuracy, or create regulatory compliance issues. Validation before deploying changes is the most critical safeguard.
Why C is Correct: According to ISACA AAIR change management guidance for AI systems, rigorous validation to assess changes' effects on predictive accuracy and model bias is the most important change management activity. Production AI models make real-world decisions affecting people and business outcomes. Unvalidated changes may degrade performance, introduce discriminatory patterns, or create regulatory violations that are difficult to detect and remediate after deployment.
Why A is Wrong: Allowing operational teams to adjust configuration parameters in real time bypasses change control processes and creates untracked, unvalidated changes to model behavior. This represents a governance risk, not an acceptable change management practice.
Why B is Wrong: Access controls for new model functionalities are a security and authorization concern.
While important for access governance, they do not address the technical risk that model changes may degrade performance or introduce bias.
Why D is Wrong: Expediting production rollouts to minimize downtime prioritizes availability over quality assurance. Rushing changes without adequate validation trades one operational risk (downtime) for a potentially more severe risk (biased or inaccurate outputs affecting critical decisions).
NEW QUESTION # 37
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 # 38
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: C
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 # 39
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