Model card
A short, structured document describing a model’s intended use, training data, evaluation results, known limitations and ethical considerations. It gives reviewers and users the context they need to decide whether the model is appropriate for a task.
Why it matters
Models are often reused far from the context they were built for. A model card records what the model was designed to do and where it is known to perform poorly, which helps prevent quiet misuse and supports validation, audit and incident response.
Model cards are most useful when they are generated and updated alongside each model version, drawing evaluation results from the pipeline rather than being written once and forgotten.
In practice
For example, a UK logistics firm’s delivery-time model card might state that it was trained on mainland UK deliveries, has not been evaluated for island routes, performs less well during severe weather and should not be used to set contractual service levels.
Where Rodan fits
Rodan produces model documentation as part of the release process for systems built through Applied AI Engineering, linked to the evaluation results for each version.