Session March 12, 2026 · 10:30 PM

The Climate Paradox of AI Education

As AI transforms climate education with personalized learning and interactive simulations, we face an uncomfortable truth: the data centers powering these solutions are driving massive energy consumption that threatens to undermine our climate goals. With data center electricity use projected to double by 2030, how do we justify using energy-intensive AI to teach climate solutions? We'll examine real trade-offs, share concrete solutions, and propose a path toward AI-powered climate education that helps rather than harms our environmental future.

Speakers
Angel Hsu
Associate Professor & Founding DirectorUNC Chapel Hill & Data-Driven EnviroLab
Vijay Gadepally
Senior Scientist & Co-FounderMassachusetts Institute of Technology (Mit) & Radium
Rebecca (Becky) Boyles
Deputy Director, RENCI; Professor of the Practice, Data Science & SocietyUNC Chapel Hill

Session Details

Date
March 12, 2026
Time
10:30 PM
Location
Austin Marriott Downtown / Waller Ballroom C
Format
Panel
Track
Cities & Climate
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Calendar
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