Overview
Now in its fourth year, the AI + Education Summit convened researchers, educators, technology leaders, policymakers, and philanthropic partners at a moment of real uncertainty—and unprecedented possibility. AI is advancing faster than our learning systems, raising urgent questions about creativity, critical thinking, fairness, trust, opportunity, and what it truly means to learn.
This year’s gathering grappled with that inflection point: how AI, grounded in the learning sciences, can strengthen learning rather than weaken it, expand creativity and critical thinking rather than narrow them, and help us move education from universal access to universal learning for every learner.
Photos: Ryan Zhang
Read the recap
AI challenges core assumptions in education
Session recordings
Image gallery
Speakers
Chris Chafe
Music Department Chair, Stanford Center for Computer Research in Music and Acoustics
Julia Beth Dimitriou
Education Specialist, Fremont Unified School District
Bethanie Drake-Maples
CEO, Atypical AI; Researcher, Stanford Graduate School of Education
Caroline Figueroa
Harkness Fellow & Visiting Assistant Professor, Stanford School of Medicine
Patrick Hynes
Senior Manager of Research Communities, Stanford Institute for Human-Centered Artificial Intelligence
Pravin Kaipa
Education Specialist/Teacher Tech Mentor, Mountain View Whisman School District
James Landay
Anand Rajaraman and Venky Harinarayan Professor, Stanford School of Engineering
Sarahí Espinoza Salamanca
Education Entrepreneurship Hub Project Manager, Stanford Accelerator for Learning
Candace Thille
Adult & Workforce Learning Initiative Faculty Director, Stanford Accelerator for Learning
Maisha T. Winn
Equity in Learning Initiative Faculty Director, Stanford Accelerator for Learning
