Agency policy on responsible use of AI tools: acceptable use cases, data privacy, human oversight, and documentation requirements.
This webinar on using AI in health departments for chronic disease prevention, featuring real examples, ethical guidance, and tips to get started.
Explainer on why large language models hallucinate: mechanisms, causes, and implications for health information reliability.
Perspective on applying machine learning in healthcare: cautions against shortcuts, emphasizes evidence, validation, and equity.
Framework for transforming public health practice with AI, covering core capabilities, governance, and equity-centered implementation.
Review of next-generation geospatial AI methods and applications in public health, environmental monitoring, and urban planning.
Randomized controlled assessment of LLM reliability as a medical assistant for general public health questions and guidance.
State government AI Advisory Council final recommendations to the legislature on governance, ethics, and AI policy priorities.
Tennessee AI Advisory Council action plan: recommendations for responsible AI adoption across state government and public services.
Analysis of the growing environmental impact of AI data centers' rising energy demands on climate and sustainability goals.
South Carolina state agencies AI strategy: coordinated approach to responsible AI adoption, governance, and workforce readiness.
Statewide generative AI policy establishing governance, acceptable use, and accountability standards for all state agencies.
Case study: geospatial AI applied to public health in Essex County for disease mapping, resource allocation, and health equity.
Analysis of how AI could transform public health planning—including forecasting and resource allocation—while raising equity concerns.
Framework for integrating health equity considerations into AI design and deployment for public health applications.
Research on harnessing AI/ML to enhance public health surveillance: pathogen detection, outbreak forecasting, and data integration.
Review of AI applications in disease surveillance: real-time monitoring, predictive analytics, and early outbreak detection systems.
Government standard for securing public-facing AI services: risk assessment, procurement controls, and security requirements.
Study of public use of a generalist LLM chatbot for health queries: patterns, accuracy, and implications for health communication.
Overview of geospatial AI and its applications in GIS for public health mapping, environmental analysis, and decision support.