AI adoption and Usage at the CDC: A case study in Machine Learning, NLP, Computer Vision, and Generative AI usage for identifying novel insights in Public Health

Music City Center 

The AI implementation team within CDC, a cross-cutting team of staff from CDC Centers, Institutes, and Offices, works to ensure responsible adoption of artificial intelligence technologies to enhance public health decision-making capabilities and organizational efficiency. The advancements in AI capabilities over the past decade have enabled the integration of non-traditional data sources, including satellite imagery, X-ray images, and unstructured documents, creating opportunities to fill critical information gaps in public health surveillance and response. In this presentation, recent AI projects and implementation efforts at the CDC will be outlined. This includes the adoption of appropriate guardrails to ensure the responsible adoption of generative AI by staff, overviewing the results of pilot projects testing enhanced capabilities of these systems, examples of implementation of reusable AI pipelines aimed at providing high impact solutions to current public health problems, and existing challenges to successful AI adoption within public health.