Breaking Academic Silos: Cross-Disciplinary AI Integration That Works

May 28th, 1-2 pm CT

Breaking Academic Silos graphic.

Reporter Moderator: Kathryn Palmer – Inside Higher Ed

Josh Jones – CEO, QuantHub

Mark McNeilly – Professor of the Practice of Marketing, UNC Kenan-Flagler Business School; Co-Chair, UNC Generative AI Committe

Benn Konsynski – Professor, Emory University; Chair, ISOM Department; AI Thought Leader

AI is reshaping every industry. Yet, university chief technology officers recently reported that half of their colleges and universities are not granting students access to institutional generative AI tools. Beyond the polarizing ethical debates over the use of AI in the classroom, a more practical question is circulating among faculty committees: Where does AI fit in the curriculum? Is there a role for AI literacy in the general curriculum? Should all students learn the fundamental science behind AI or the practical applications and tools like generative AI? Or is it best left to academic disciplines to determine?

This webinar brings together academic leaders, curriculum designers, and edtech experts to explore how universities are grappling with these critical questions. We’ll share lessons learned from early pilots, discuss what’s working (and what’s not), and surface the strategies schools are using to equip both faculty and students with the AI literacy they need. From the tension between analytical and generative AI to the practical challenges of implementation, we’ll break down the key debates, share real-world examples, and offer concrete tips you can take back to your institution.

Whether you’re just beginning to explore how to integrate AI into your programs or are looking for best practices to enhance existing efforts, this session will provide clear, actionable insights. Join us for a lively conversation that cuts through the hype and focuses on what really matters: preparing students for success in an AI-powered world.

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