Webinar on AI applications in health policy and systems research, exploring the shift from experimentation to real-world implementation.
Empirical study using LLMs and prompt engineering to generate health awareness messages, evaluating quality for public health communication.
Blended online course from Digital Bridge giving community health workers foundational AI literacy for public health and service delivery.
CDC blog on AI in medicine and public health: imaging, big data, and ethical challenges post-pandemic. Rasooly & Khoury, March 2022.
Gallup/West Health poll (2025): 25% of Americans use AI for health info; 59% before doctor visits, 56% after—mainly as a care supplement.
Washington County, OR AI acceptable use policy: guidelines for responsible generative AI use, data protection, and human review of AI outputs.
Guam OTECH AI use policy (Jan. 2025): responsible AI guidelines for government agencies—data privacy, human oversight, and prohibited uses.
San José city AI use policy: transparency, privacy, bias prevention, and staff accountability. Aligned with GovAI Coalition principles.
Kentucky COT AI policy (Oct. 2025): acceptable generative AI use for state employees, data protection, and mandatory agency training.
Washington State WaTech AI policy (Dec. 2025): agencies must apply state AI principles, assess high-risk systems, and protect non-public data.
4-pillar epidemic intelligence framework adding AI decision support to respiratory disease surveillance, risk evaluation, and early warning.
GenAI-in-healthcare framework with 4 principles: map applications to strengths, define evaluations, balance safety, ensure transparency.
How AI tools plus community engagement improve adolescent mental health in rural settings. Highlights digital literacy needs. Frontiers, 2025.
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.
Agency policy on responsible use of AI tools: acceptable use cases, data privacy, human oversight, and documentation requirements.
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.
JISC analysis of AI's environmental footprint in context—energy, water, carbon—arguing for proportionate concern and greener AI design.