Framework for designing AI evaluations that matter: linking AI system assessment to real-world outcomes and stakeholder needs.
Los Angeles AI Roadmap: city strategy for responsible AI adoption across departments, public services, and civic engagement.
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.
Comparative study evaluating online health information quality using generative AI vs. traditional sources for accuracy and reliability.
Empirical study using LLMs and prompt engineering to generate health awareness messages, evaluating quality for public health communication.
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.
5 steps for public health leaders to use AI responsibly: build awareness, pilot uses, manage risk, invest in staff training.
JISC analysis of AI's environmental footprint in context—energy, water, carbon—arguing for proportionate concern and greener AI design.
This map visualizes ASTHO's ongoing public health and healthcare AI legislative tracking.
Randomized controlled assessment of LLM reliability as a medical assistant for general public health questions and guidance.
State government AI Advisory Council final recommendations to the legislature on governance, ethics, and AI policy priorities.
Tennessee AI Advisory Council action plan: recommendations for responsible AI adoption across state government and public services.
FAQ companion to the Public AI Services Security Standard, addressing common questions on AI procurement and risk management.
Guidance on protecting scientific data integrity when using generative AI tools in research and public health contexts.
South Carolina state agencies AI strategy: coordinated approach to responsible AI adoption, governance, and workforce readiness.
Government standard for securing public-facing AI services: risk assessment, procurement controls, and security requirements.
Study of public use of a generalist LLM chatbot for health queries: patterns, accuracy, and implications for health communication.