Report on the AI capability gap between advanced AI developers and public health agencies, and strategies to close the divide.
Guidance on protecting scientific data integrity when using generative AI tools in research and public health contexts.
Kansas Health Institute template and guidance for public health organizations to develop AI policies tailored to their context.
How explainable AI and One Health principles can be integrated to combat zoonotic diseases and cross-sector health threats.
GenAI-in-healthcare framework with 4 principles: map applications to strengths, define evaluations, balance safety, ensure transparency.
Perspective on applying machine learning in healthcare: cautions against shortcuts, emphasizes evidence, validation, and equity.
Framework for transforming public health practice with AI, covering core capabilities, governance, and equity-centered implementation.
Analysis of the growing environmental impact of AI data centers' rising energy demands on climate and sustainability goals.
Analysis of how AI could transform public health planning—including forecasting and resource allocation—while raising equity concerns.
Framework for designing AI evaluations that matter: linking AI system assessment to real-world outcomes and stakeholder needs.
Webinar on AI applications in health policy and systems research, exploring the shift from experimentation to real-world implementation.
Content analysis of social determinants of health accelerator plans using AI/NLP to identify themes and equity gaps at scale.
Blended online course from Digital Bridge giving community health workers foundational AI literacy for public health and service delivery.
5 steps for public health leaders to use AI responsibly: build awareness, pilot uses, manage risk, invest in staff training.
HSCC living glossary of healthcare AI terms—governance-ready definitions for clinical, operational, compliance, and technical stakeholders.
CDC guide for STLT public health agencies on adopting generative AI tools: governance, risk management, and responsible use practices.
PAHO guide on designing AI prompts for public health: covers objectives, audience, tone, format, and treating prompts as living protocols.
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.
OpenAI's AI Job Transition Framework: employer and policy recommendations for supporting workers displaced or reshaped by AI.