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AAIA Exam Dumps.zip, AAIA Real Brain Dumps

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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

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 3

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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ISACA Advanced in AI Audit Sample Questions (Q76-Q81):

NEW QUESTION # 76
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. Immaturity of AI systems in the industry
D. Costs associated with AI system maintenance

Answer: B

NEW QUESTION # 77
A healthcare organization uses an AI model to analyze patient data and provide diagnostic recommendations. Which of the following MOST effectively detects data drift related to the model's predictions?

A. Applying overrides to allow healthcare professionals to correct the AI model's recommendations
B. Using adversarial testing to simulate scenarios that stress test the model's predictions
C. Conducting periodic model retraining to ensure alignment with updated patient data
D. Comparing incoming patient data distributions with the training data set

Answer: D

NEW QUESTION # 78
For a sales promotion, an AI system sorts customer attributes into several categories by analyzing transaction history. Verifying which of the following would BEST validate the effectiveness of this process?

A. Sampling of AI output is conducted to identify unusual decisions.
B. The applied methodology adequately reflects business objectives.
C. Sensitive attributes are converted to other data types prior to input.
D. Stress tests are regularly conducted to maintain consistent AI performance.

Answer: B

NEW QUESTION # 79
An organization deploys an AI recruitment platform to screen job applicants. The IS auditor identifies that the platform's decisions may be influenced by model bias. Which of the following risk mitigation strategies is BEST for the auditor to recommend?

A. Require manual reviews of all AI-generated recruitment decisions before hiring is finalized.
B. Implement a process to periodically test the AI system for biases and adjust parameters as needed.
C. Retrain the AI model using an external data set certified for inclusivity and fairness.
D. Suspend the use of the AI system until the training data can be verified for fairness and compliance.

Answer: B

NEW QUESTION # 80
Which of the following is the PRIMARY objective of AI governance?

A. Defining clear roles and responsibilities for AI development, use, and oversight
B. Implementing compliance and ethics controls for AI initiatives
C. Ensuring controls over AI are designed well and operate effectively
D. Promoting a positive return on investment (ROI) from AI projects

Answer: A

NEW QUESTION # 81
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