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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Program Management | 42% | - AI Risk Identification and Assessment - AI Risk Assurance and Continuous Improvement - AI Risk Monitoring and Reporting - AI Risk Response and Mitigation |
| Topic 2: AI Life Cycle Risk Management | 21% | - AI Data and Asset Management - AI Design, Development/Procurement, and Documentation - AI Model Training, Testing, and Validation - AI Implementation, Maintenance, and Decommissioning |
| Topic 3: AI Risk Governance and Framework Integration | 37% | - AI Organizational Processes and Alignment - AI Policies, Procedures, and Organizational Training - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases - AI Regulatory Compliance and Legal Considerations - AI Trustworthiness, Ethical and Societal Implications |
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NEW QUESTION # 125
When identifying AI risk scenarios for a customer service chatbot, which of the following is MOST important for a risk practitioner to evaluate?
Answer: D
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. Risk scenario identification should focus on the severity of potential adverse effects on critical stakeholders and organizational objectives. Technical details such as encryption or dataset volume are controls or implementation factors, while impact drives scenario significance. This makes option C, Severity of adverse effects on critical stakeholders and objectives, 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 # 126
An organization has deployed an AI-powered customer service chatbot. Which of the following BEST helps to ensure the chatbot maintains high accuracy in interpreting and answering customer inquiries?
Answer: C
Explanation:
Chatbot accuracy in customer service depends on correctly identifying customer intent and generating appropriate responses. Both intent classification accuracy and training data quality directly determine chatbot performance over time.
Why D is Correct: According to ISACA AAIR model performance management guidance, measuring intent- classification error rates provides precise diagnostic information about where the chatbot misunderstands customer inquiries, while refining training datasets based on those errors continuously improves classification accuracy. This closed-loop approach-measure specific errors, improve the underlying data that drives them- is the most effective mechanism for sustained high accuracy.
Why A is Wrong: Increasing model temperature increases output randomness and diversity, which is counterproductive for accuracy in customer service contexts where consistent, precise answers are required.
Precision and recall provide useful metrics but increased temperature actively undermines accuracy.
Why B is Wrong: Vendor benchmarking compares performance against generic standards. Customer service chatbots must be optimized for the specific organization's terminology, products, and customer base-generic thresholds may not capture the accuracy requirements of a specific deployment.
Why C is Wrong: Explainable AI techniques improve decision transparency but do not directly enhance classification accuracy. Code reviews address software quality, not the model's ability to accurately interpret customer intent.
NEW QUESTION # 127
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: A
NEW QUESTION # 128
Which of the following is the risk practitioner ' s FIRST course of action upon learning that an AI model has been providing responses that are outside predefined thresholds for accuracy?
Answer: B
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 breach of a predefined accuracy threshold is a governance event, so the first action is to notify the designated AI governance owner with decision authority. Technical investigation and risk-register updates can follow once the accountable owner has been informed. This makes option C, Notify designated AI governance owners for decision making, 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 # 129
A rideshare organization is considering the use of AI for dynamic surge pricing. Which of the following is the MOST important risk to evaluate?
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. Dynamic surge pricing directly affects customers and market behavior, creating legal and competition-law exposure that can be more consequential than integration, compute, or ordinary model-staleness issues. Regulatory scrutiny can lead to penalties and restrictions. This makes option B, Potential regulatory inquiries for anti- competitive AI pricing practices, 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 # 130
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