For Heads-of · Practitioner
Model Card
A document detailing the capabilities, limitations, intended use cases, performance metrics, and known risks of a machine learning model.
- model card
- documentation
- transparency
- accountability
Content
Includes training data description, evaluation metrics across different groups, failure modes, ethical considerations, and recommendations for responsible use.
Purpose
Model cards provide transparency to stakeholders and help practitioners understand whether a model is suitable for their use case and what precautions are needed.
Governance Standard
Many regulatory frameworks now expect organizations to maintain documentation similar to model cards, supporting accountability and due diligence for AI systems.