Server-Side Chats: How Programs Are Making AI Education Work

Server-Side Chats: How Programs Are Making AI Education Work

AI is changing what teaching and learning look like, and it’s moving faster than most curriculum cycles. So how are programs successfully bringing responsible data and AI skills into their classrooms, majors, and other academic offerings? What’s getting in the way? And what can we learn from the programs that have made it work?

This down-to-earth conversation is about real-world course and major updates. We’ll talk openly about the obstacles, including faculty time and expertise, budget limits, accreditation constraints, policy concerns, and campus culture, and about how successful programs have worked through them.

Panelists will share short success stories from across campus and beyond: individual courses, majors, certificates, online offerings, and out-of-class opportunities. You’ll get a behind-the-scenes look at how these changes happened, who was involved, and how teams built momentum.

The format is simple: brief opening remarks, a handful of candid stories, and plenty of time for audience Q&A.

Who should join: Whether you’re shaping curriculum, learning in the classroom, advising programs, or partnering with the university, this conversation is for you. Faculty, program directors, department chairs, and curriculum committees will find practical ideas for moving updates forward. Students can give input and shape the courses and programs they want to see. Advisory board members and partners can learn where their expertise and support can make the biggest difference.

The goal is for people to leave with a clearer sense of what it takes to bring responsible AI and data practices into academic programs.