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NEW QUESTION # 147
Which of the following is the GREATEST risk when a generative AI tool used for threat detection produces inaccurate or misleading information?
Answer: B
Explanation:
In the context of cybersecurity and threat detection, the " accuracy " of AI outputs is a matter of organizational safety. The greatest risk of inaccurate information (such as false negatives) is that " Potential threats may be overlooked, " leading to undetected breaches or system compromises. This occurs when the model fails to flag a genuine anomaly as suspicious. While unreliable KRIs (Option B) or exaggeration (Option D) pose operational inconveniences, they do not carry the same catastrophic potential as a missed active threat. The AAIA™ manual emphasizes that for high-stakes security systems, output validation and human oversight are mandatory to mitigate this risk.
NEW QUESTION # 148
Which of the following is the MOST effective way an IS auditor could use generative AI to plan an audit of a new database storing transactional data?
Answer: D
Explanation:
Generative AI excels at synthesizing large datasets and technical documentation into understandable insights.
The AAIA™ Study Guide recommends leveraging generative AI to identify domain-specific risks and control considerations by analyzing complex environments and correlating them with industry risk patterns.
"AI can assist auditors during planning by generating tailored risk profiles for technologies under review, helping prioritize audit focus and scoping." While summarizing interviews (D) and creating diagrams (B) are helpful, only C directly informs audit planning with actionable intelligence. A (separation of duties) is a later-stage control assessment.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI in Audit Processes," Subsection: "Generative AI Use in Planning and Scoping"
NEW QUESTION # 149
Which of the following is MOST important to consider when deciding whether to implement an AI solution?
Answer: C
Explanation:
While cost, speed, and infrastructure are practical considerations, the AAIATM Study Guide stresses that ethical implications must be the top priority. Implementing AI without evaluating potential harm, bias, discrimination, or privacy concerns can result in legal, social, and reputational damage.
"Ethical implications should be central to AI implementation decisions. Responsible AI practices involve evaluating societal impact, transparency, accountability, and fairness before deployment." Therefore, D is the most essential consideration.
NEW QUESTION # 150
Which of the following is the GREATEST risk of using AI to generate audit reports?
Answer: D
Explanation:
The greatest risk when using AI to generate audit reports is that it may misrepresent control effectiveness (B)-for example, by overstating the robustness of controls, understating deficiencies, or summarizing findings inaccurately. This undermines the reliability of the entire audit and can lead to poor management decisions, regulatory issues, and reputational damage. AAIA emphasizes that AI-generated artifacts still require professional judgment and validation to ensure they accurately reflect audit evidence and conclusions.
Inconsistent formatting (A) and lack of integration (C) are usability and efficiency issues, not fundamental assurance risks. Inability to incorporate historical findings (D) reduces context but does not inherently misstate the current control assessment. Therefore, misrepresentation of control effectiveness is the most critical risk from an assurance standpoint.
References:
ISACA, AAIA Exam Content Outline - Domain 3: AI in Audit Processes (Audit reporting and communication).
ISACA guidance on professional skepticism and validation of AI-generated insights in audit.
NEW QUESTION # 151
An IS auditor is performing an inventory audit for a manufacturing organization. Which of the following would BEST enable the auditor to identify types of products without assistance from organizational staff?
Answer: D
Explanation:
Computer vision uses machine learning techniques to identify and classify visual data such as images or videos. In inventory audits, it can be used to recognize product types, scan barcodes, or evaluate storage conditions without human assistance.
"Computer vision is particularly effective in automated environments like manufacturing, where visual data from cameras or sensors can be processed to verify product identification and placement." NLP (A) and speech modeling (B) are not suitable for image-based tasks. RPA (C) automates tasks but cannot visually interpret products. Therefore, D is the correct tool.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI in Audit Processes," Subsection: "AI Tools in Operational and Inventory Audits"
NEW QUESTION # 152
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