AI for Public Health Initiative
Faculty Learning Community
Faculty Learning Communities bring together faculty, staff and learners to explore shared interests, exchange ideas and learn from one another. Within the AI for Public Health Initiative, the FLC is where the second pillar gets its practical work done: teaching with AI, and teaching well in classrooms where students already use it.
The conversation here is deliberately open. It covers emerging tools, teaching approaches and real applications of AI in public health, with a bias toward thoughtful, evidence-based integration rather than either enthusiasm or prohibition. Participants read together, try things, and report back on what worked and what did not.
Previous FLCs
The Opposite of Cheating
MEZCOPH Faculty Learning Community: The Opposite of Cheating by Tricia Bertram Gallant and David Rettinger (a.co/d/9MTieeH; Volume 4, University of Oklahoma Press, 2025).
Participants read a different chapter each week with the goal of moving beyond policing misconduct to designing learning experiences that promote meaningful intellectual engagement. Discussions explored the challenges faculty face in the classroom and strategies for fostering joy alongside authentic learning. The group considered how assessment practices can reflect real-world public health work, how trust-based learning can be restored, and how courses can be designed so that integrity becomes the natural default rather than a rule to be enforced. Ethics, character, critical thinking, original writing, and sound decision-making were central themes as participants explored how best to prepare students to navigate complex moral challenges in an AI-enhanced professional landscape.
Facilitator: Laura Gronewold
In-person, Spring 2026