Building on the insights from the first two webinars in our three‑part AI in Public Health webinar series, this final session focuses on AI tools public health professionals can use to strengthen human thinking, learning, and judgment. As AI tools become more integrated into public health work, the goal is not simply increased productivity, but using AI in ways that support learning, ethical decision‑making, and long‑term human capability.

This webinar explores practical implications of AI use in public health and moves from key conceptual insights into applied learning, including a brief survey of high‑value AI tools and a guided, hands‑on workshop designed to help participants ask better questions, provide context, and avoid inappropriate reliance on AI systems.

Speaker:

Tomás Aragón, MD, DrPH

Former State Health Officer and Director of the California Department of Public Health, and author of TEAM Public Health. Dr. Aragón brings a decision intelligence and learning‑science perspective to AI adoption in public health. Drawing on his experience working with students and practitioners, he will share practical guidance on using generative AI to enhance reasoning, critical thinking, and public health practice—while avoiding the “agency gap” that can occur when cognitive effort is offloaded to technology.

What You’ll Learn:

• How AI use can either strengthen or erode human capability in public health work

• Core concepts such as cognitive effort, productive struggle, and AI literacy

• A brief overview of current, high‑value AI tool categories relevant to public health

• How to provide effective context and ask higher‑quality questions of AI tools

• Practical strategies for using AI for evaluation, learning, synthesis, and data aggregation

• Common pitfalls to avoid when integrating AI into public health workflows

Interactive Workshop and Q&A:

This 90-minute session includes a guided, hands‑on workshop introducing specific AI tools, walking participants through their use, with an emphasis on learning, reflection, and advancing from basic to more complex tasks. The webinar concludes with a dedicated 30‑minute Q&A to address participant questions and real‑world challenges.

Didn’t catch the first or second webinars? Watch the recordings to get up to speed before joining us for this concluding session in the series.

The AI in Public Health series is sponsored by the Public Health Institute and produced by Dialogue4Health

Presenters

Moderator

Sponsors