A fact sheet for an AI model that tells you what it was built for, how well it works for different groups of people, and what it should not be used for.
A fact sheet for an AI model that tells you what it was built for, how well it works for different groups of people, and what it should not be used for.
The model card concept was introduced by Mitchell et al. (2019) at Google and has since become an industry standard for model transparency. A model card typically covers: model description (architecture, intended use, out-of-scope uses), training data summary, evaluation metrics disaggregated by demographic subgroup, known limitations and failure modes, and ethical considerations. Model cards do not satisfy all of EU AI Act Annex IV requirements but cover a significant portion of the required content and are widely used in the AI industry as a baseline transparency mechanism. Some organisations augment model cards with 'data cards' for training datasets.
Model cards are an efficient transparency mechanism for AI product teams — they communicate essential governance information to deployers, procurement teams, and auditors without exposing proprietary model internals.
Like a medication package insert — a standardised document that informs prescribers and patients about intended use, dosage, contraindications, and known side effects, without revealing the drug's proprietary synthesis process.
A fact sheet for an AI model that tells you what it was built for, how well it works for different groups of people, and what it should not be used for.
The model card concept was introduced by Mitchell et al. (2019) at Google and has since become an industry standard for model transparency. A model card typically covers: model description (architecture, intended use, out-of-scope uses), training data summary, evaluation metrics disaggregated by demographic subgroup, known limitations and failure modes, and ethical considerations. Model cards do not satisfy all of EU AI Act Annex IV requirements but cover a significant portion of the required content and are widely used in the AI industry as a baseline transparency mechanism. Some organisations augment model cards with 'data cards' for training datasets.
Model cards are an efficient transparency mechanism for AI product teams — they communicate essential governance information to deployers, procurement teams, and auditors without exposing proprietary model internals.