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| Section | Objectives |
|---|---|
| Topic 1: AI Auditing Tools and Techniques | |
| Topic 2: AI Governance and Risk | |
| Topic 3: AI Operations |
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NEW QUESTION # 257
What should be done FIRST when an AI-powered chatbot starts giving incorrect financial advice after a backend API change?
Answer: D
Explanation:
When an AI system begins giving incorrect financial advice, the FIRST step is to suspend the chatbot (D) to prevent ongoing harm. AAIA emphasizes protecting users from unsafe decisions as the top priority in AI operations.
Suspension allows the organization to:
Stop distribution of harmful advice
Assess impact and identify faulty API dependencies
Prevent regulatory or customer harm
Conduct root-cause analysis safely
NEW QUESTION # 258
An organization deploys a complex AI model to support credit risk assessments. Stakeholders find the model's output difficult to interpret. Which of the following BEST improves interpretability?
Answer: B
Explanation:
AAIA emphasizes that transparency and interpretability require clear explanations of how the model functions, what features drive predictions, and how decisions are derived.
Creating documentation and visual interpretability tools (option C) provides:
Feature importance breakdowns
Decision pathway visualizations
Examples of prediction reasoning
Plain-language explanations for nontechnical stakeholders
Evidence that can be validated during audits
NEW QUESTION # 259
Which of the following is the BEST use of AI to audit relationships for conflicts of interest or collusion?
Answer: C
Explanation:
"Graph Analytics" (or Network Analysis) is the superior AI technique for auditing "relational risks".
It maps entities (people, vendors, employees) as "nodes" and their interactions as "edges". This allows auditors to visualize and detect "Collusion Rings," where multiple parties are connected in ways that standard tabular analysis would miss.
NEW QUESTION # 260
Which role is BEST suited to define the implementation roadmaps for adopting AI solutions?
Answer: B
Explanation:
A steering committee is responsible for enterprise-wide strategic decisions, technology alignment, investment prioritization, and governance oversight.
AAIA states that AI implementation roadmaps must be driven by a group that can evaluate:
* Organizational strategy
* Technology readiness
* Budget allocations
* Risk appetite
* Regulatory obligations
* Cross-functional impacts
The risk committee (A) focuses only on risk, not implementation. Product management (C) has a narrow scope. Internal audit (D) evaluates controls, not roadmaps.
Thus, the steering committee is the appropriate authority.
References:
AAIA Domain 1: AI Governance Structures
AAIA Domain 4: Strategic Alignment and Oversight
NEW QUESTION # 261
A healthcare AI tool recommends treatments with high success rates but significant risk. The hospital prioritizes patient safety over innovation. What is the BEST course of action?
Answer: D
Explanation:
AI systems must align with theorganization's risk appetite and ethical principles, especially in healthcare where patient safety is paramount. The BEST action is toadjust the AI's parameters(A) so the recommendations reflect the hospital's conservative risk tolerance, reducing the frequency of high-risk suggestions. AAIA stresses AI governance alignment with organizational risk appetite, treatment guidelines, and ethical priorities.
Option B is overly disruptive and eliminates beneficial AI capabilities. Option C is necessary for privacy but does not address treatment safety. Option D limits utility but doesn't correct underlying alignment issues. The core issue ismodel alignment with ethical and safety standards, making option A the correct choice.
References:
ISACA,AAIA Exam Content Outline- Domain 5: Ethical Principles in AI (alignment with risk tolerance, safety, beneficence).
NEW QUESTION # 262
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