Spring IDMP Showcase: Beyond AI Basics - What Faculty Actually Need to Know
Thu 4/24/2025 • 11AM - 12:30PM PDT
If March’s session got you thinking, this one will go further. Faculty are struggling to keep up with AI’s rapid evolution—but there’s a reason why some are thriving while others are overwhelmed. This session will dig into real faculty experiences and the strategies that are actually making a difference.
Session Presenter: Tina Austin, UCLA Lecturer for Computational Biology
Key Questions We’ll Explore:
-What’s the #1 mistake faculty make when integrating AI?
-How do different disciplines use AI in ways you wouldn’t expect?
-What does it take to stay ahead without being buried in AI updates?
-What’s the missing piece? Why one-off AI talks aren’t enough for faculty success.
Why You Should Come:
If you want to go beyond the surface-level AI talk and figure out what actually works, this session is for you. But be warned—this isn’t a step-by-step how-to. It’s a deep dive into what’s changing and why faculty need more structured support.