Developing Artificial Intelligence (AI) Policies for Public Health Organizations: A Template and Guidance
Kansas Health Institute template and guidance for public health organizations to develop AI policies tailored to their context.
Kansas Health Institute template and guidance for public health organizations to develop AI policies tailored to their context.
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.
Webinar on AI applications in health policy and systems research, exploring the shift from experimentation to real-world implementation.
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.
GenAI-in-healthcare framework with 4 principles: map applications to strengths, define evaluations, balance safety, ensure transparency.
ASTHO Profile data shows how public health agencies are adopting AI, revealing policy gaps, workforce challenges, and uneven use across states.
How explainable AI and One Health principles can be integrated to combat zoonotic diseases and cross-sector health threats.
Analysis of how AI could transform public health planning—including forecasting and resource allocation—while raising equity concerns.
Report on the AI capability gap between advanced AI developers and public health agencies, and strategies to close the divide.
Framework for designing AI evaluations that matter: linking AI system assessment to real-world outcomes and stakeholder needs.
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.
Guidance on protecting scientific data integrity when using generative AI tools in research and public health contexts.
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.