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ISACA AAIA Exam Syllabus Topics:

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

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Free Sample ISACA AAIA Questions | AAIA Test Dumps Free

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ISACA Advanced in AI Audit Sample Questions (Q161-Q166):

NEW QUESTION # 161
When reviewing contracts or other lengthy documentation in the planning phase, which of the following tools would BEST extract relevant information?

Answer: C

Explanation:
Natural Language Processing (NLP) enables systems to understand, summarize, and extract relevant insights from unstructured text data such as contracts, emails, or reports. The AAIATM Study Guide recognizes NLP as the optimal tool for document review during audit planning or risk assessment phases.
"NLP techniques can efficiently process large volumes of documentation, highlight key clauses, and identify inconsistencies or risk indicators. This enhances audit productivity and thoroughness."


NEW QUESTION # 162
When an IS auditor reviews audit evidence gathered by AI, which of the following practices should the auditor perform to ensure the reliability of the evidence?

Answer: B

Explanation:
Professional skepticism is a core requirement for auditors using AI tools. Because AI can suffer from "hallucinations" or misinterpretation of data, the auditor must "Validate the evidence against source documents." This involves taking a sample of the AI's findings and manually verifying them against the original records (e.g., invoices, contracts, or logs).


NEW QUESTION # 163
An organization deployed an AI-powered customer service chatbot trained using customer chat logs. During a risk assessment, which issue should be the IS auditor's GREATEST concern?

Answer: B

Explanation:
The GREATEST concern is insufficient access controls (D), which can lead to unauthorized exposure of customer data--a severe privacy, security, regulatory, and reputational risk. Chat logs often contain personally identifiable information and sensitive communications. AAIA prioritizes data confidentiality, access control, and privacy obligations as highest-risk elements, particularly for customer-interactive AI systems.


NEW QUESTION # 164
A digital bank utilizes an AI system to generate credit scores. Which of the following would BEST mitigate the risk of sudden and unexplained changes in a borrower's credit score?

Answer: C

Explanation:
Sudden and unexplained changes in AI-generated credit scores may result from data drift, model overfitting, or lack of recalibration. According to the AAIA™ Study Guide, regular expert review and calibration help maintain model reliability and transparency, particularly in high-stakes decisions like credit scoring.
"Ongoing human oversight ensures that predictive models remain stable and justifiable. In high-impact environments, such as banking, experts must review and recalibrate AI systems to prevent opaque or unexpected behavior." Option B may cause the exclusion of relevant long-term patterns. C promotes risk by removing oversight. D is a validation strategy, not a stability control. Therefore, A is the best option.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Operations and Performance," Subsection: "Model Monitoring and Recalibration Strategies"


NEW QUESTION # 165
Which of the following is the MOST important reason to perform regular ethical reviews of AI systems?

Answer: D

Explanation:
The AAIA™ Study Guide reinforces that regular ethical reviews are essential to uphold human rights, prevent discriminatory outcomes, and ensure systems function within the boundaries of fairness and legality. While aligning with values (B) and preventing drift (D) are secondary benefits, the primary ethical imperative is the protection of individuals' rights and freedoms.
"Ethical reviews ensure AI systems do not violate rights related to privacy, fairness, access, and due process.
This is foundational in building public trust and avoiding legal liabilities." Option C is the clearest expression of this responsibility. Performance and alignment with values are important but secondary to ensuring human-centric safeguards.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "Ethical and Legal Considerations in AI," Subsection: "Ongoing Ethical Oversight"


NEW QUESTION # 166
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