Which watsonx.governance artifact is automatically generated to provide a standardized summary of a model's intended use, training data, performance metrics, and known limitations for stakeholder and regulatory review?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Think of it like setting up smoke detectors in a building — you configure them before anything can go wrong. watsonx.governance automatically generates model cards by pulling metadata from AI use case records, training configuration details, evaluation results, and ongoing monitoring status into a standardized document. Model cards support both internal governance review and external regulatory documentation requirements.
Full explanation below image
Full Explanation
watsonx.governance automatically generates model cards by pulling metadata from AI use case records, training configuration details, evaluation results, and ongoing monitoring status into a standardized document. Model cards support both internal governance review and external regulatory documentation requirements. Risk scorecards complement model cards by providing cross-model compliance summaries rather than per-model technical documentation. The incorrect options — such as 'A risk scorecard, which aggregates compliance status across governance domains for high-level executive reporting' and 'An IBM FactSheet exported from Watson Studio that must be manually imported into the watsonx.governance AI use case record' — describe either out-of-sequence steps or unrelated configuration tasks. This concept falls under the 4.0 Configure Evaluation and Monitoring domain of the IBM watsonx.governance certification.