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| 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.
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| 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.
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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 (Q83-Q88):
NEW QUESTION # 83
Which of the following is the MOST important risk for an IS auditor to consider when reviewing the adoption of an AI system?
- A. Resistance to the use of AI technology
- B. Bias in AI system decision making
- C. Costs associated with AI system maintenance
- D. Immaturity of AI systems in the industry
Answer: B
NEW QUESTION # 84
An IS auditor is looking to expedite reporting for an audit with complex issues. Which of the following would be the MOST effective way for the auditor to use generative AI?
- A. Revising audit conclusions with precise verbiage to describe the audit observations
- B. Developing action items discussed in closing meetings for management action plans
- C. Revising audit background and scope information based on new information from management
- D. Developing a draft of an executive summary based on detailed findings and audit scope
Answer: D
NEW QUESTION # 85
An IS auditor notes that an AI model achieved significantly better results on training data than on test dat a. Which of the following problems with the model has the IS auditor identified?
- A. Bias
- B. Generalization
- C. Underfitting
- D. Overfitting
Answer: D
NEW QUESTION # 86
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?
- A. Portability of data
- B. Data practices for training models
- C. Accountability for data management
- D. Retention of stored data
Answer: C
NEW QUESTION # 87
Which of the following do supervised AI learning models PRIMARILY use to train algorithms?
- A. Randomized data sets
- B. Clustered data sets
- C. Unlabeled data sets
- D. Labeled data sets
Answer: D
NEW QUESTION # 88
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