Term
Model Card
Definition
A Model Card is a document that outlines what an AI model does, how well it performs, and any areas where it might not work properly.
Where you’ll find it
Model Cards are not generated automatically on AI platforms; they need to be created by those who develop and manage AI models, such as data scientists or AI researchers.
Common use cases
- To provide a clear and concise summary of an AI model to stakeholders or project partners.
- To ensure transparency in AI implementations, detailing a model’s capabilities and any potential biases.
- To serve as part of documentation or compliance processes in organizations utilizing AI systems.
Things to watch out for
- Model Cards must be updated regularly to reflect the current state and performance of the AI model.
- It is essential that Model Cards accurately reflect both the strengths and the limitations of the model to avoid misuse.
- Creating an effective Model Card requires deep knowledge of the AI model and its deployment environment.
Related terms
- AI Ethics
- Performance Metric
- Transparency in AI
- AI Documentation
- Bias in AI
Pixelhaze Tip: Including visual aids like charts or graphs in your Model Card can make the performance data easier to understand for everyone, not just technical experts. This can help broaden the accessibility of complex information.