Model Card

A model card is the transparency artifact of AI development — a structured document that tells potential users of a model what it was trained for, what it was tested on, where it performs well or poorly, and what risks and limitations they should be aware of. Introduced by Google researchers in 2018, model cards have become an industry norm for responsible AI disclosure. For behavior architects, creating and maintaining a model card is an exercise in honest self-assessment: it requires running broad evaluations, documenting failures openly, and communicating nuances about intended use that marketing materials often gloss over. A well-written model card helps downstream users make informed decisions about whether and how to deploy a model.