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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 (Q56-Q61):

NEW QUESTION # 56
An AI social media platform uses an algorithm to increase user engagement that could unintentionally promote divisive content. Which of the following is the BEST course of action to mitigate this risk?

A. Suspend the algorithm until concerns are addressed.
B. Regularly audit and adjust algorithms to reduce biases.
C. Obtain users' consent for the content they wish to view.
D. Introduce controls allowing individuals to customize content preferences.

Answer: B

NEW QUESTION # 57
When converting data categories before training an AI model, which of the following scenarios represents the GREATEST risk?

A. One-hot encoding the data attribute car colors for the options red, blue, green, black, white
B. One-hot encoding the data attribute customer rewards category for the options economy, business, first class
C. Creating dummy variables for the data attribute dog breed for the options labrador, terrier, beagle
D. Creating dummy variables for the data attribute product flavor for the options vanilla, chocolate, strawberry, banana

Answer: B

NEW QUESTION # 58
When an IS auditor uses generative AI with external RAG (retrieval-augmented generation) to gather evidence during an audit, which of the following poses the GREATEST data security risk?

A. Sensitive internal context may be included in queries sent to external services.
B. External search engines only respond to public data.
C. The model might fail to retrieve data from the vector.
D. Personal information may be shared based on model training data.

Answer: A

Explanation:
The GREATEST risk is thatsensitive internal contentmay be embedded in AI prompts and sent to an external system (A), exposing confidential or regulated information. Retrieval-augmented generation often involves sending queries or embeddings to third-party APIs, creating a significantdata leakagerisk if internal context is included.
Option B deals with training-data leakage, which is notable but less immediate. Option C is irrelevant to the core risk. Option D concerns operational reliability, not security. In AAIA, protection of internal audit evidence and sensitive data is paramount, and theprimary threat is external disclosure through prompts.
References:
ISACA,AAIA Exam Content Outline- Domain 5: Data Protection, AI Privacy Risks.

NEW QUESTION # 59
Which of the following BEST ensures that an AI system complies with user data ownership rights under privacy regulations?

A. Applying data clustering techniques to anonymize data sets
B. Implementing a transparent data consent management process
C. Enforcing strict data retention policies to limit storage duration
D. Regularly conducting AI system performance testing for accuracy

Answer: B

Explanation:
A transparent data consent management process ensures users are informed about how their data will be used, and enables them to exercise their rights to consent, access, rectify, or delete their data. This is a core requirement under regulations such as GDPR and CCPA.
"Consent management is fundamental to respecting data ownership rights. Organizations must clearly disclose data usage purposes, provide opt-in/out capabilities, and maintain audit trails of user interactions." While anonymization and retention policies support compliance, they don't address user control. Performance testing (D) relates to model accuracy, not user rights. Thus, C is the best answer.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "Ethical and Legal Considerations in AI," Subsection: "User Data Rights and Consent Management"

NEW QUESTION # 60
Which of the following is the PRIMARY purpose of an AI acceptable use policy?

A. Explaining the distinction between different types of AI
B. Outlining AI usage monitoring procedures
C. Educating employees on where to find and how to use AI tools
D. Establishing guidance on the ethical use of AI

Answer: D

Explanation:
An AI acceptable use policy (AUP) defines how AI tools and technologies should be ethically and responsibly used within an organization. According to the AAIA™ Study Guide, the primary goal of an AUP is to prevent misuse and promote adherence to ethical, legal, and operational standards.
"An AI acceptable use policy provides governance over how AI tools may be used, especially regarding data handling, fairness, and prohibited uses. It aligns employee actions with organizational values and compliance requirements." Monitoring procedures (B), training (C), and taxonomy explanations (D) may be included in broader AI documentation, but the AUP's core purpose is ethical usage governance.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Governance and Risk Management," Subsection: "Policies, Standards, and Ethical Frameworks for AI"

NEW QUESTION # 61
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