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ISACA Advanced in AI Audit Sample Questions (Q19-Q24):
NEW QUESTION # 19
From a data appropriateness and bias perspective, which of the following should be of GREATEST concern when reviewing an AI model used in a credit scoring system?
- A. The model uses postal codes as a primary factor in determining creditworthiness.
- B. The model utilizes historical credit data to predict future credit behavior.
- C. The model considers the applicant's income level as a key factor in the credit decision.
- D. The model incorporates the applicant's loan history to assess spending habits.
Answer: A
NEW QUESTION # 20
A healthcare organization uses data clustering to group patients by medical history for personalized treatment recommendations. Which of the following is the GREATEST privacy risk associated with this practice?
- A. The clustering requires more data, increasing the risk of a privacy breach.
- B. Clustering increases the complexity of the model, making data harder to anonymize.
- C. Irrelevant features in the data may result in inaccurate or biased treatments.
- D. Clusters can reveal sensitive personal information depending on how the information is presented.
Answer: D
NEW QUESTION # 21
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. Implement a process to periodically test the AI system for biases and adjust parameters as needed.
- B. Suspend the use of the AI system until the training data can be verified for fairness and compliance.
- C. Retrain the AI model using an external data set certified for inclusivity and fairness.
- D. Require manual reviews of all AI-generated recruitment decisions before hiring is finalized.
Answer: A
NEW QUESTION # 22
When reviewing contracts or other lengthy documentation in the planning phase, which of the following tools would BEST extract relevant information?
- A. Natural language processing
- B. Predictive analytics
- C. Autoregressive sequencing model
- D. Robotic process automation (RPA)
Answer: A
NEW QUESTION # 23
An IS auditor notes that an AI model achieved significantly better results on training data than on test dat a. Which of the following problems with the model has the IS auditor identified?
- A. Generalization
- B. Underfitting
- C. Overfitting
- D. Bias
Answer: C
NEW QUESTION # 24
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