AI Guidelines, Best Practice, and Use-Cases at the National Center for Health Statistics/CDC

The National Center for Health Statistics/Centers for Disease Control and Prevention (NCHS/CDC) is developing guidelines and best-practices for the use of AI. There are many potential benefits of AI, including generative AI, for NCHS/CDC, including efficiency and resource savings through increased automation, and supported code-generation, synthesis and summarization of written material, and communication. However, risks of AI, most recently risks of generative AI, are regularly documented. Risks can cause agency harm through fabrication and hallucination, poor model performance, bias and discrimination, privacy and data security failure, and other legal and ethical risks that risk the credibility and integrity of the agency. Use-cases illustrate the opportunities and challenges of AI for two data processing tasks – including the identification of nonresponse for survey text responses and the differentiation of absence or presence of conditions and risk factors using clinical notes. This presentation will describe processes for the development of guidelines and best-practices for AI use with examples drawn from use-cases.

Artificial Intelligence

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Statistical Data Science

Symposium on Data Science and Statistics (SDSS) 2024