5 steps for public health leaders to use AI responsibly: build awareness, pilot uses, manage risk, invest in staff training.
Michigan DTMB guidelines for ethical AI adoption: data classification, human-in-the-loop oversight, and equitable access for state agencies.
Blended online course from Digital Bridge giving community health workers foundational AI literacy for public health and service delivery.
Substack newsletter on AI applications in public health—policy implications and emerging tools for public health practitioners.
CDC blog on AI in medicine and public health: imaging, big data, and ethical challenges post-pandemic. Rasooly & Khoury, March 2022.
Agency policy on responsible use of AI tools: acceptable use cases, data privacy, human oversight, and documentation requirements.
Gallup/West Health poll (2025): 25% of Americans use AI for health info; 59% before doctor visits, 56% after—mainly as a care supplement.
Op-ed arguing public health's real risk is AI hesitation, not adoption—urging professionals to engage and shape AI use. Forbes, 2026.
HSCC living glossary of healthcare AI terms—governance-ready definitions for clinical, operational, compliance, and technical stakeholders.
ASTHO and partners explore public health AI: ethics, equity, privacy, and practical applications.
This podcast highlights the BEACON Portal, where Illinois and Google use AI matching to streamline children's behavioral health access.
This podcast highlights ongoing federal discussions around regulating AI in healthcare and public health.
This podcast explores how AI can augment core public health functions by supporting cognitive tasks like data analysis and communication.
Dr. David Newman-Toker of Johns Hopkins discusses talks with House members on AI bias and privacy concerns.
Dr. Kris Mork, Director of Public Health Informatics at Guidehouse, talks about how the development of AI needs to be inclusive.
As AI adoption grows in public health, understanding its uses and ensuring responsible application are key to protecting privacy, minimizing bias, and improving outcomes.
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.
This webinar on using AI in health departments for chronic disease prevention, featuring real examples, ethical guidance, and tips to get started.