We are pleased to release the long form of the CHAI Applied Model Card for public comment. The applied model card describes an AI solution focused on the application in a health use case. This AI solution will be embedded within an AI system, which includes the fully operational AI use case, including the model(s), technical infrastructure, and personnel in the workflow.
This model card supports meeting the criteria for HTI-1 for predictive DSIs defined as “…technology that supports decision-making based on algorithms or models that derive relationships from training data and then produce an output that results in prediction, classification, recommendation, evaluation, or analysis.” In addition, this model card provides transparency for all Five of CHAI’s Principles of Responsible AI (Transparency, Safety, Security & Privacy, Fairness & Bias, and Usefulness).
In this current draft release we have included: the complete documentation for the model card (includes: instructions, example, resources, references), a fillable template of the model card for stress-testing, and a separate copy of the example provided in the full documentation for reference.
We welcome public feedback and stress testing of the CHAI Draft Applied Model Card. The public feedback period will be open from 11/22/2024 to 11:00 PM EST 01/22/2025. For any questions or concerns please reach out to [email protected]. Thank you!
