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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 (Q57-Q62):

NEW QUESTION # 57
A retail organization uses an AI model to analyze customers' purchase history in order to offer personalized discounts. Which of the following practices represents the MOST ethical use of customer data?

A. Providing the public with access to review and audit the data set of collected customer information
B. Retaining and analyzing all available customer data to ensure unbiased recommendations
C. Sharing customer purchase data with third-party vendors to improve advertising and communication
D. Utilizing customer purchase data only after obtaining explicit consent and allowing customers to opt out

Answer: D

NEW QUESTION # 58
Which of the following BEST ensures that an AI system complies with user data ownership rights under privacy regulations?

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

Answer: C

NEW QUESTION # 59
Which of the following is MOST important to consider when deciding whether to implement an AI solution?

A. The cost of AI implementation
B. The space required for AI hardware
C. The speed of AI implementation
D. The ethical implications of AI

Answer: D

NEW QUESTION # 60
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 frequency of data audits verifying the integrity and accuracy of inputs
B. The effectiveness of data anonymization processes that help preserve data quality
C. The measures in place to ensure the appropriateness and relevance of input data for generative AI models
D. The algorithms for generative AI models designed to detect and correct data bias before processing

Answer: C

NEW QUESTION # 61
Which of the following controls helps mitigate the risk of competitors poisoning data utilized by a machine learning (ML) model performing sentiment analysis of product reviews?

A. Hiring a marketing firm to text links to customers requesting product reviews for monetary compensation
B. Augmenting the unbalanced product review data set with the use of oversampling by the model developer
C. Requiring customers to authenticate access to their accounts prior to writing product reviews
D. Peer reviewing code that acquires product reviews from social media posts

Answer: C

NEW QUESTION # 62
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ISACA AAIA Reliable Dumps Ebook | Latest AAIA Exam Cram

ISACA AAIA Exam Syllabus Topics:

Latest ISACA AAIA Exam Cram, AAIA Test Engine Version

ISACA Advanced in AI Audit Sample Questions (Q57-Q62):

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