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| Topic | Details |
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| Topic 1 | - AI Operations: It covers managing AI-specific data needs—including collection, quality, security, and classification—applying development lifecycle methodologies with privacy and security by design, change and incident management, testing AI solutions, identifying AI-related threats and vulnerabilities, and supervising AI deployments.
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| Topic 2 | - AI GOVERNANCE AND RISK: It encompasses understanding different AI models and their life cycles, guiding AI strategy, defining roles and policies, managing AI-related risks, overseeing data privacy and governance, and ensuring adherence to ethical practices, standards, and regulations.
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| Topic 3 | - Auditing Tools and Techniques: This section of the exam measures the skills of AI auditors and centers on auditing AI systems using appropriate tools and methods. It includes audit planning and design, sampling methodologies specific to AI, collecting audit evidence, using data analytics for quality assurance, and producing AI audit outputs and reports, including follow-up and quality control measures.
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ISACA Advanced in AI Audit Sample Questions (Q131-Q136):
NEW QUESTION # 131
Which of the following is the GREATEST benefit of using large language models (LLMs) to identify potential control deficiencies?
- A. Independently verifying audit options based on control assessments
- B. Simulating financial transactions for internal control testing
- C. Summarizing multiple process narratives for inconsistencies
- D. Allowing the auditor to replace walkthroughs with automated testing
Answer: C
Explanation:
LLMs excel at processing large amounts of unstructured text (e.g., policies, process narratives, procedures). The GREATEST benefit is their ability to summarize and compare multiple documents to identify inconsistencies (B), which can signal potential control weaknesses or misalignments. This aligns with AAIA's description of AI-enabled audit analytics that support document analysis, narrative comparison, and pattern detection for control assessment.
NEW QUESTION # 132
What should be done FIRST when an AI-powered chatbot starts giving incorrect financial advice after a backend API change?
- A. Retrain the model with historical and updated data.
- B. Push a patch to improve chatbot response speed.
- C. Add more rules to override the model's output.
- D. Suspend the chatbot and assess the impact.
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 # 133
Which of the following BEST ensures that an AI system complies with user data ownership rights under privacy regulations?
- A. Enforcing strict data retention policies to limit storage duration
- B. Implementing a transparent data consent management process
- C. Applying data clustering techniques to anonymize data sets
- D. Regularly conducting AI system performance testing for accuracy
Answer: B
Explanation:
A transparent data consent management process ensures users are informed about how their data will be used, and enables them to exercise their rights to consent, access, rectify, or delete their data. This is a core requirement under regulations such as GDPR and CCPA.
"Consent management is fundamental to respecting data ownership rights. Organizations must clearly disclose data usage purposes, provide opt-in/out capabilities, and maintain audit trails of user interactions."
NEW QUESTION # 134
Which of the following BEST demonstrates effective coordination to ensure comprehensive oversight of an AI system deployed across multiple jurisdictions?
- A. Focusing oversight activities on technical anomaly detection metrics
- B. Establishing joint oversight plans and communication channels between agencies
- C. Relying on automated processes for anomaly detection and documentation
- D. Centralizing responsibility under a single supervisory authority
Answer: B
Explanation:
When AI systems span multiple jurisdictions, they are subject to different regulatory regimes, cultural expectations, and risk tolerances. AAIA emphasizes that oversight must be coordinated to avoid gaps or overlaps. Establishing joint oversight plans and communication channels between agencies (B) ensures that relevant authorities share information, align on expectations, and collectively monitor AI risks, enabling coherent and comprehensive oversight.
NEW QUESTION # 135
An organization wants to reduce the risk of over-reliance ("automation bias") among employees using an AI decision-support tool. Which control is MOST effective?
- A. Removing the AI tool entirely
- B. Training employees to critically evaluate AI recommendations and providing confidence scores or supporting rationale alongside outputs
- C. Increasing the frequency of model retraining
- D. Reducing the number of users with access to the tool
Answer: B
Explanation:
Automation bias -- the tendency to over-trust automated outputs -- is best mitigated through training that encourages critical evaluation, combined with transparency features (confidence scores, rationale) that support informed human judgment.
NEW QUESTION # 136
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