Question 6
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?
Question 7
Which of the following is the MOST important consideration when auditing the data used for training an AI model?
Question 8
Which of the following correctly summarizes the conclusions of the model card excerpt provided?
Model Card - Electrical Grid Predictive Maintenance Model
Model Information:
Description: AI model designed to predict maintenance needs for electrical grid components, reduce unplanned downtime, and improve grid reliability.
Inputs: Real-time sensor data, historical maintenance records, and operational logs.
Outputs: Maintenance needs predictions for 60 & 90 days.Evaluation:
Approach: Cross-validation and validation of accuracy, precision, and recall.
Results: Accuracy 72%; Precision 60%; Recall 95%; F1 76%
Model Card - Electrical Grid Predictive Maintenance Model
Model Information:
Description: AI model designed to predict maintenance needs for electrical grid components, reduce unplanned downtime, and improve grid reliability.
Inputs: Real-time sensor data, historical maintenance records, and operational logs.
Outputs: Maintenance needs predictions for 60 & 90 days.Evaluation:
Approach: Cross-validation and validation of accuracy, precision, and recall.
Results: Accuracy 72%; Precision 60%; Recall 95%; F1 76%
Question 9
Which of the following is MOST important to have in place when initially populating data into a data frame for an AI model?
Question 10
Which of the following AI system characteristics would BEST help an IS auditor evaluate the system's algorithm?
