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ISACA AAIA Exam Syllabus Topics:
Topic
Details
Topic 1
- 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.
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
- 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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ISACA Advanced in AI Audit Sample Questions (Q52-Q57):
NEW QUESTION # 52
During a pre-implementation risk assessment, an AI model is determined to present a significant risk of bias and potential harm in excess of the organization's risk tolerance. Which of the following is the MOST appropriate response?
- A. Postpone deployment until the risk can be safely managed.
- B. Obtain board approval for an exception.
- C. Enhance the data that the model is trained on.
- D. Revisit the risk tolerance to ensure it is appropriate.
Answer: A
NEW QUESTION # 53
An organization is adopting AI for its procurement and inventory teams, raising concern from stakeholders that they will lose their jobs due to AI. Which of the following is the BEST way for the IS auditor to assess whether the potential negative impacts were minimized?
- A. Review the AI roadmap for short-term and long-term milestones.
- B. Review the current state assessment of how AI may impact the organization.
- C. Review human-centered design practices to determine how they were considered.
- D. Review how the project management team collected feedback in engagement activities.
Answer: C
NEW QUESTION # 54
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 algorithms for generative AI models designed to detect and correct data bias before processing
- B. The measures in place to ensure the appropriateness and relevance of input data for generative AI models
- C. The effectiveness of data anonymization processes that help preserve data quality
- D. The frequency of data audits verifying the integrity and accuracy of inputs
Answer: B
NEW QUESTION # 55
In the context of an AI implementation, which of the following actions is MOST critical for an organization's change management program?
- A. Verifying that all employees have completed mandatory AI ethics training
- B. Conducting a comprehensive risk assessment specific to AI-related changes
- C. Reviewing documentation for AI system changes, updates, and patches
- D. Ensuring the organization has a dedicated AI governance committee
Answer: B
NEW QUESTION # 56
An IS auditor is interviewing management about implemented controls around machine learning (ML) models deployed in the production environment. Which of the following schedules for reviewing the performance of a deployed model would be of GREATEST concern to the auditor?
- A. After changes to hardware and software platforms
- B. After functionality changes
- C. One time prior to migrating to production
- D. On an annual recurring basis
Answer: C
NEW QUESTION # 57
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