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NEW QUESTION # 264
Which of the following is the BEST recommendation to mitigate excessive agency when implementing an AI system as a browser extension?
Answer: D
Explanation:
Excessive agency occurs when AI systems act too autonomously, making decisions without appropriate human oversight. To mitigate this in a browser extension, the BEST approach is to minimize functionality (A), ensuring the extension performs only narrowly defined, controlled actions. This aligns with AAIA's guidance on limiting AI autonomy, applying least-privilege principles, and restricting unnecessary actions.
NEW QUESTION # 265
An IS auditor is considering using a web-based AI tool to update an audit report. What should be the MOST important consideration before inputting the report?
Answer: B
Explanation:
The MOST important factor is compliance with organizational data protection requirements (D), because audit reports contain sensitive internal information, findings, and potential control deficiencies. Sending such content to an external AI tool may result in data exposure or unauthorized processing. AAIA emphasizes privacy, confidentiality, and data protection obligations when interacting with external AI systems.
NEW QUESTION # 266
An IS auditor is auditing an organization's data governance framework. The primary objective is to provide assurance that data management practices are standardized to support a trustworthy AI system. Which of the following should be the auditor's MOST important consideration?
Answer: D
Explanation:
Accountability for data management (option D) is the most crucial consideration. The AAIA™ Study Guide emphasizes that "clear roles, responsibilities, and ownership for data management activities are central to trustworthy AI systems, as they ensure compliance, traceability, and the consistent application of policies and controls." Retention, portability, and data training practices are important, but accountability is foundational for the enforcement and monitoring of all other governance practices.
Reference:ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "Accountability in Data Governance for AI"
NEW QUESTION # 267
An IS auditor finds that an AI model's outputs are not being reviewed. Which of the following would BEST address this risk?
Answer: A
Explanation:
WhenAI outputs are not being reviewed, the primary concern is thatincorrect, biased, or non-compliant decisionsmay go undetected. The best way to address this risk is to implement avalidation process for AI decisions(B), which may include human-in-the-loop checks, sampling-based reviews, escalation criteria, and formal approval workflows. AAIA emphasizes the importance ofsupervision and validation of AI outputs, particularly where decisions have financial, legal, or safety implications.
A larger training dataset (A) does not guarantee correctness or fairness and does not replace oversight.
Regular retraining (C) can be beneficial but can also propagate errors if not validated. Prompt templates (D) are relevant mainly for generative and prompt-based systems, and they do not constitute systematic review of outputs. Therefore, astructured validation processis the most direct and effective control.
References:
ISACA,AAIA Exam Content Outline- Domain 2: AI Operations (Supervision of AI Solutions).
ISACA audit guidance on AI decision validation and human oversight.
NEW QUESTION # 268
Which of the following techniques BEST assesses an AI model's ability to generalize to new data?
Answer: C
Explanation:
K-fold cross validationpartitions the dataset intokequally sized folds, iteratively using one fold for testing and the remaining folds for training. By rotating through all folds, the model is evaluated on multiple, non- overlapping subsets of data, providing a robust estimate of generalization performance. This process reduces the risk of overfitting to a single train-test split and is explicitly recognized in AI testing techniques and data analytics practices relevant to AAIA.
Option A (failure mode effects analysis) is useful for understanding failure impacts but not primarily for generalization. Option B (unit testing) focuses on code components, not model generalization. Option D (metamorphic testing) is valuable for validating behavior under transformations, but the standard, widely accepted approach to assessing generalization remainscross validation, making option C the best answer.
References:
ISACA,AAIA Exam Content Outline- Domain 2: Testing Techniques for AI Solutions (conventional and AI- specific testing).
ISACA AI and data analytics training content that discusses cross validation as a generalization assessment method.
NEW QUESTION # 269
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