Patra AI Cards Toolkit
The Patra Toolkit is a component of the Patra AI Cards framework designed to simplify the process of creating and documenting AI/ML models. It provides a structured schema that guides users in providing essential information about their models, including details about the model's purpose, development process, and performance. The toolkit also includes features for semi-automating the capture of key information, such as fairness and explainability metrics, through integrated analysis tools. By reducing the manual effort involved in creating model cards, the Patra Toolkit encourages researchers and developers to adopt best practices for documenting their models, ultimately contributing to greater transparency and accountability in AI/ML development.
For guidance on what Tutorials, How-To Guides, and Explanation content covers, see Diátaxis.
References
- Documentation
- Schema descriptions
- Example notebook and example ModelCard
- Patra Knowledge Base server
Acknowledgements
This work has been funded by grants from the National Science Foundation, and in part through Plale Lab at The University of Oregon.
National Science Foundation (NSF) funded AI institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE) (OAC 2112606)
Issue reporting
Report issues via GitHub Issues.