An AI governance framework requires all deployed AI systems to maintain a 'model card.' Which information is MOST important to include in a model card for risk management purposes?

Here's the deal — b is correct because model cards are transparency documents that should communicate intended use cases (to prevent misapplication), known limitations (accuracy bounds, failure modes), disaggregated performance metrics (revealing differential performance), and out-of-scope uses — giving deployers and users the information needed for responsible governance. A, C, and D are not standard model card elements for risk management.