Guidance on potential use of AI in disaster risk and emergency management for prediction, response coordination, and recovery.
Policy on acceptable and responsible use of AI tools by employees: principles, prohibited uses, and oversight requirements.
How modernized surveillance systems leveraging AI and data sharing can improve global public health security preparedness.
Report on the AI capability gap between advanced AI developers and public health agencies, and strategies to close the divide.
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.
Kansas Health Institute template and guidance for public health organizations to develop AI policies tailored to their context.
Comparative study evaluating online health information quality using generative AI vs. traditional sources for accuracy and reliability.
Study on AI-powered living health promotion campaigns tailored to U.S. communities using real-time data and personalization.
How explainable AI and One Health principles can be integrated to combat zoonotic diseases and cross-sector health threats.
Research on using generative AI to correct vaccine misinformation through targeted, personalized message interventions.
How the data center boom driven by AI risks health outcomes in vulnerable communities through noise, pollution, and energy burdens.
Study exploring generative AI applied to unstructured audio data for precision public health surveillance and health monitoring.
State enterprise responsible AI use policy: principles of accountability, transparency, fairness, and privacy for agency AI tools.
State policy governing the enterprise use and development of generative AI tools across government agencies.
Government agency generative AI policy covering acceptable use, data handling, privacy protections, and human oversight requirements.
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.
JISC analysis of AI's environmental footprint in context—energy, water, carbon—arguing for proportionate concern and greener AI design.
Webinar from Public Health Communications Collaborative on using AI responsibly to strengthen public health messaging and community outreach.