Which of the following is the GREATEST data quality risk when using an AI tool...

Unstructured data without standardized preprocessing (option A) creates the highest data quality risk because AI models depend heavily on the cleanliness, consistency, and structure of input data.

AAIA warns that improperly processed unstructured data leads to:

Incorrect text extraction

Lost contextual meaning

Feature extraction errors

Misclassification

Inaccurate audit evidence

Option B is a bias or relevance risk, not data quality.

Option C is a governance/training issue.

Option D is an oversight risk, not a data quality issue.

Therefore, using unstructured data without preprocessing is the most direct threat to data quality.