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ISACA AAIA Exam Syllabus Topics:

Section	Objectives
Topic 1: AI Governance and Risk
Topic 2: AI Auditing Tools and Techniques
Topic 3: AI Operations

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ISACA Advanced in AI Audit Sample Questions (Q252-Q257):

NEW QUESTION # 252
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?

A. Implementing a rule-based system to validate the AI model's decisions
B. Training stakeholders to interpret AI outputs
C. Reducing the model's complexity
D. Developing documentation and visual tools explaining how the model generates outputs

Answer: D

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 # 253
The GREATEST benefit of using AI auditing techniques over traditional methods is that AI auditing techniques can:

A. identify complex data patterns.
B. significantly reduce data bias.
C. ensure full compliance with regulations.
D. eliminate the need for human intervention.

Answer: A

NEW QUESTION # 254
What should be done FIRST when an AI-powered chatbot starts giving incorrect financial advice after a backend API change?

A. Suspend the chatbot and assess the impact.
B. Retrain the model with historical and updated data.
C. Push a patch to improve chatbot response speed.
D. Add more rules to override the model's output.

Answer: A

Explanation:
When an AI system begins givingincorrect financial advice, the FIRST step is tosuspend 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
Retraining (C) is corrective but must occurafterassessment. Adding rules (B) risks masking deeper issues.
Speed patches (A) are irrelevant to correctness.
References:
AAIA Domain 2: Incident Management, Safety Controls, and Output Validation

NEW QUESTION # 255
An organization is implementing an AI governance framework. Which of the following should be established FIRST?

A. A model performance dashboard
B. A vendor risk assessment questionnaire
C. An incident response runbook
D. Clear accountability and ownership roles for AI systems

Answer: D

Explanation:
Governance frameworks begin with defining who is accountable for AI outcomes (business owner, model owner, risk owner). Without clear ownership, monitoring, incident response, and vendor management all lack a decision-making anchor.

NEW QUESTION # 256
When auditing the transparency of an AI system, which of the following would be the MOST effective way to understand the model's decision-making process?

A. Analyzing the complexity of the algorithms used
B. Assessing the computational cost of the model
C. Reviewing the explainability of AI outputs
D. Evaluating the diversity of the training data set

Answer: C

NEW QUESTION # 257
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