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CDC Explores ‘Model Cards’ to Provide Information on AI Tools¶
CDC Considers ‘Model Cards’ to Provide Context for Generative AI Tools¶
In their pursuit of a broad AI governance strategy, the Centers for Disease Control and Prevention (CDC) appears to be considering the use of “model cards.” These provide key information about generative AI models, including the contents and the creation method, potentially bringing essential clarity to AI tool deployment.
The Value of Model Cards¶
An official from CDC, speaking at AFCEA Bethesda’s Health IT Summit 2024, indicated that “model cards” could capture both quantitative metrics and qualitative understanding of generative AI tools. This context-centric information could be useful for assessing risks, especially when contemplating new applications for a system years after its initial deployment.
Exploring a Unique Approach¶
The CDC, in sync with many federal agencies, is exploring tailored strategies for governing generative AI use. The framework that these agencies develop will critically influence how the government interacts with burgeoning tech already in use.
Contextualizing Details with Model Cards¶
Model cards appear to be an attractive proposition for CDC, allowing for the illustration of what’s contained in a model and the methods utilized in its creation. The focus is on equipping AI tool users with all necessary data, both quantitative and qualitative, for comprehensive understanding and effective application.
Conclusion¶
The CDC’s scrutiny of model cards showcases an innovative approach to AI governance that seeks to balance technology advancement with comprehensive understanding and safe application. This strategy may pave the way for other agencies navigating the ever-evolving landscape of AI tool utilization. For a deeper dive into this topic, refer to the original FedScoop article .