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LATHICAI Glossary

AI Safety & Responsible AI

Model card

A document describing a model's intended uses, limitations, evaluation results, and risks.

Made up of

  • Uses
  • Limitations
  • Evaluation results
  • Risks

Example

A model card records intended uses, evaluation results, limitations, and known risks.

Why it matters

It helps buyers and developers judge whether a model is suitable before adopting it.

You'll hear it

“The model card doesn't cover the language we need.”

Can you control it?

Sometimes

Sometimes. Some products or workflows let you influence a model card, while others keep it fixed or manage it automatically. Check the settings and documentation for the tool you are using.

Common questions

Does having a model card guarantee accuracy?
No. Documentation can describe limitations without removing them.
Can it become outdated after an update?
Yes. A changed model may need revised results and descriptions.
Does it describe the whole product built around the model?
Not necessarily. Added tools and application behavior may require separate information.

Related terms

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