Connecticut state responsible AI framework: guiding principles, 4 implementation phases, AI Advisory Board oversight, and LLM guidelines.
Nature perspective on consumer-facing AI for public health: examines evidence gaps and considerations for responsible deployment.
Idaho ITS AI governance policy (Aug. 2025): ethical use, prohibited cases, data classification, and human oversight for state agencies.
CDC's vision for AI in public health: accelerating detection and response, reducing operational burden, and empowering an AI-ready workforce.
CDC guidance for STLT agencies on using agentic AI (deep research) tools: principles for evidence-based decision-making with human oversight.
State or agency guidelines for using generative AI assistant technologies: acceptable use, data protection, and disclosure rules.
State-level enterprise AI policy establishing principles, governance, and accountability standards for AI use across agencies.
Pennsylvania Office of Administration policy on acceptable and responsible AI use across executive branch state agencies.
Georgia state standard for responsible AI use: ethical principles, data governance, and compliance with state IT standards.
City of Seattle 2025–2026 AI plan: framework for responsible AI adoption across city departments with equity and transparency goals.
Nebraska NITC AI policy governing AI tool use by state agencies: acceptable use, data handling, and risk evaluation.
CDC guide for STLT public health agencies on adopting generative AI tools: governance, risk management, and responsible use practices.
Rapid review of trustworthy AI in public health: exploring the double-edged nature of algorithmic decision-making in health systems.
Study on using AI to improve public health campaigns across diverse U.S. communities through personalization and data-driven messaging.
Critical look at why evaluating AI health interventions is often inadequate and what better evaluation frameworks should require.
Policy analysis of how agentic AI will require rethinking government operations, oversight, and accountability frameworks.
This webinar explores how AI is being used to support diabetes prevention and management in public health.
CDC success story: using AI to improve public health efficiency and outbreak response readiness through data modernization.
Ohio state policy for the use of AI in state government solutions: governance, risk management, and responsible deployment.
New York City AI Action Plan: strategy for responsible AI use in city government, services, and public engagement.