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ISACA AAIA Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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.
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 (Q26-Q31):

NEW QUESTION # 26
When auditing a research agency's use of generative AI models for analyzing scientific data, which of the following is MOST critical to evaluate in order to prevent hallucinatory results and ensure the accuracy of outputs?

A. The effectiveness of data anonymization processes that help preserve data quality
B. The algorithms for generative AI models designed to detect and correct data bias before processing
C. The frequency of data audits verifying the integrity and accuracy of inputs
D. The measures in place to ensure the appropriateness and relevance of input data for generative AI models

Answer: D

NEW QUESTION # 27
Which of the following is an IS auditor MOST likely to use in order to ensure an AI model has the ability to make correct predictions?

A. Adversarial testing
B. Confusion matrix
C. Latency testing
D. Group analysis

Answer: B

NEW QUESTION # 28
A healthcare organization uses data clustering to group patients by medical history for personalized treatment recommendations. Which of the following is the GREATEST privacy risk associated with this practice?

A. The clustering requires more data, increasing the risk of a privacy breach.
B. Clusters can reveal sensitive personal information depending on how the information is presented.
C. Clustering increases the complexity of the model, making data harder to anonymize.
D. Irrelevant features in the data may result in inaccurate or biased treatments.

Answer: B

NEW QUESTION # 29
A generative AI system has a validation control in place to reject inappropriate questions by checking them against built-in ethical standards. Which of the following enables malicious actors to circumvent this control through prompt engineering?

A. Asking the same questions later when the algorithm has changed after further learning
B. Randomly placing keywords unrelated to the main topic
C. Submitting the same questions in a foreign language translated by another AI-based system
D. Presenting theoretical situations to justify the reason for asking the questions

Answer: D

NEW QUESTION # 30
An IS auditor is auditing an AI system that predicts inventory needs. The system recently failed to predict a stock outage for a key product. Which of the following audit tests would BEST validate the system's accuracy?

A. Load testing during peak sales periods
B. Historical testing with past sales data
C. Unit testing of the forecasting algorithm
D. Sensitivity analysis on input variables

Answer: B

NEW QUESTION # 31
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