During an AI system audit, the auditor wants to assess whether a training dataset used for a customer churn model is representative of the current customer population. Which audit procedure is MOST appropriate?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — you need to compare the statistical distribution of training-data features with current production data. That directly shows whether the training set still mirrors the current customer population.
Full Explanation
Comparing training-data feature distributions with current production data is correct because representativeness requires checking means, variances, and category proportions against the current population to detect systematic misrepresentation. Reviewing hyperparameter tuning logs tests model configuration, not data representativeness. Confirming AES-256 encryption at rest tests security controls. Verifying notebook version control tests development practices.