This webinar explores how AI-powered swarm intelligence can boost public health preparedness through inclusive planning and real-time data sharing.
Dr. David Newman-Toker of Johns Hopkins discusses talks with House members on AI bias and privacy concerns.
This podcast highlights ongoing federal discussions around regulating AI in healthcare and public health.
Dr. Kris Mork, Director of Public Health Informatics at Guidehouse, talks about how the development of AI needs to be inclusive.
ASTHO Profile data shows how public health agencies are adopting AI, revealing policy gaps, workforce challenges, and uneven use across states.
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.
Review of next-generation geospatial AI methods and applications in public health, environmental monitoring, and urban planning.
Analysis of the growing environmental impact of AI data centers' rising energy demands on climate and sustainability goals.
This webinar on using AI in health departments for chronic disease prevention, featuring real examples, ethical guidance, and tips to get started.
Explainer on why large language models hallucinate: mechanisms, causes, and implications for health information reliability.
Guidance on potential use of AI in disaster risk and emergency management for prediction, response coordination, and recovery.
Study on AI-powered living health promotion campaigns tailored to U.S. communities using real-time data and personalization.
Framework for integrating health equity considerations into AI design and deployment for public health applications.
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.
Guidance on protecting scientific data integrity when using generative AI tools in research and public health contexts.
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.