An AI auditor is assessing an organization's AI training data governance. The auditor finds that data scientists can modify training datasets without requiring documented approval. Which audit finding does this represent?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — if data scientists can change training data without documented approval, you've got a data integrity control weakness. Those unapproved changes can introduce bias, degrade model performance, or enable data poisoning, so formal change management is required.
Full Explanation
The correct finding is the data integrity control weakness allowing unapproved changes to AI training data. Unauthorized modification undermines data integrity because changes can introduce bias, degrade model performance, or enable data poisoning, requiring formal change management. The agile-development option ignores undocumented-change risk. The network-isolation option overstates the response. The minor-observation option understates materiality.