CDC guide for STLT public health agencies on adopting generative AI tools: governance, risk management, and responsible use practices.
Nature Water perspective on ML-augmented wastewater-based epidemiology for pathogen detection and global disease surveillance.
Nature perspective on consumer-facing AI for public health: examines evidence gaps and considerations for responsible deployment.
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-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.
PAHO guide on designing AI prompts for public health: covers objectives, audience, tone, format, and treating prompts as living protocols.
Systematic review of AI in early warning systems for infectious disease surveillance. 67 studies identified. Frontiers in Public Health, 2025.
UNEP overview of AI's environmental footprint—energy, water, e-waste, emissions—with policy recommendations for greening data centers.
Idaho ITS AI governance policy (Aug. 2025): ethical use, prohibited cases, data classification, and human oversight for state agencies.
BCG analysis of 165M U.S. jobs: 50–55% reshaped (not replaced) by AI in 2–3 years; only 10–15% at risk of elimination. Six-category framework.
Georgia Technology Authority guidance for state employees on responsible generative AI: pre-authorization, data privacy, and human oversight.
TEPHI/UT Austin self-paced online course on AI applications in health communication. 1 CEU credit, 60-day access.
Connecticut state responsible AI framework: guiding principles, 4 implementation phases, AI Advisory Board oversight, and LLM guidelines.
State-level policy on the responsible and ethical use of AI in government operations, covering fairness, accountability, and privacy.