FAIRsharing record for: Model Cards

This FAIRsharing record describes: Model cards are concise, structured documents that accompany trained machine-learning models to describe how they were built, evaluated, and should (or should not) be used. They include information on the model’s intended purpose, its performance across different data slices or demographic groups, key limitations and ethical considerations. The goal is to increase transparency and help users decide whether a model is appropriate for their context.