An internal AI audit team is planning an audit of a natural language processing system used for contract review. Which approach BEST ensures audit coverage of model bias risk?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — b is correct because bias audit procedures require empirical testing of model outputs on representative subgroups — stratified sampling across demographic groups and document types reveals whether the model performs consistently across segments. A is insufficient as code review alone does not surface emergent bias.
Full Explanation
B is correct because bias audit procedures require empirical testing of model outputs on representative subgroups — stratified sampling across demographic groups and document types reveals whether the model performs consistently across segments. A is insufficient as code review alone does not surface emergent bias. C is a governance indicator but does not test actual model behavior. D addresses security, not bias.