Which of the following is the GREATEST challenge facing IS auditors evaluating the explainability of generative AI models?

• A.Differences of opinion regarding model types
• B.Performance issues due to excessive computation
• C.Algorithms changing as AI continues to learn
• D.Difficulties in preventing the input of biased data

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Which of the following BEST detects model drift or unexpected changes in AI model outputs?

• A.AI model retraining
• B.Anomaly monitoring
• C.Standardization of AI configurations
• D.AI model documentation reviews

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

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Which of the following is an IS auditor's MOST important course of action when determining whether source data should be entered into approved generative AI tools to assist with an audit?

• A.Validate that the tool is leveraging the latest model.
• B.Validate that the tool provides a privacy notice.
• C.Determine whether any AI model hallucinations have occurred.
• D.Determine whether the information is reliable.

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Which of the following should be done FIRST when developing an incident management process for AI threats?

• A.Establish incident classification procedures
• B.Define clear roles and responsibilities
• C.Configure SIEM for security alerts
• D.Develop incident escalation procedures

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