Enterprise Use and Development of Generative AI Policy
State policy governing the enterprise use and development of generative AI tools across government agencies.
State policy governing the enterprise use and development of generative AI tools across government agencies.
Kentucky COT AI policy (Oct. 2025): acceptable generative AI use for state employees, data protection, and mandatory agency training.
California HHS IT & Data Strategic Plan: AI integration, data governance, and digital transformation goals through 2028.
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.
Michigan DTMB guidelines for ethical AI adoption: data classification, human-in-the-loop oversight, and equitable access for state agencies.
JISC analysis of AI's environmental footprint in context—energy, water, carbon—arguing for proportionate concern and greener AI design.
Webinar from Public Health Communications Collaborative on using AI responsibly to strengthen public health messaging and community outreach.
Agency policy on responsible use of AI tools: acceptable use cases, data privacy, human oversight, and documentation requirements.
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.
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.
5 steps for public health leaders to use AI responsibly: build awareness, pilot uses, manage risk, invest in staff training.
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.
Op-ed arguing public health's real risk is AI hesitation, not adoption—urging professionals to engage and shape AI use. Forbes, 2026.
Guam OTECH AI use policy (Jan. 2025): responsible AI guidelines for government agencies—data privacy, human oversight, and prohibited uses.