UC San Diego Chancellor Pradeep Khosla joins My Robot Teacher to explain why large public universities need to move faster on AI, and why “mandated coordination” may be the wrong way to get there.
An internationally renowned electrical and computer engineer and co-chair of the University of California’s AI Steering Committee, Khosla has pushed one of the world’s leading public research universities to build its own AI infrastructure and experiment with new forms of teaching and student support.
Khosla takes My Robot Teacher co-hosts Sarah and Taiyo inside UC San Diego’s approach to AI innovation, from building TritonGPT on university-owned computing infrastructure to developing AI tutoring that dramatically reduced failure rates in gateway math courses. He makes the case for shared institutional goals paired with decentralized experimentation: giving faculty, students, and staff the freedom to test ideas, fail quickly, and circulate what they learn.
Also in this episode:
– How AI could become both a great equalizing force and a driver of new inequality
– “Skunkworks,” rapid experimentation, and the value of failing quickly
– How AI could make personalized education available at a scale universities could never previously afford
– Why public universities may need to rethink degrees, short-term credentials, and workforce reskilling
– What residential education still offers when individualized instruction can happen anywhere
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My Robot Teacher is hosted by Sarah Senk and Taiyo Inoue and produced by editaudio.
Video Editing by Starline Hodge, Audio Editing by Megan Hayward, and our Production Manager is Kathleen Speckert.
My Robot Teacher is funded by the California Education Learning Lab, incentivizing innovation in teaching and learning in California’s public higher education.