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Human-Centered AI Virtual Program
July 7 - 18, 2025 | Monday-Friday, 10:00 AM - 3:00 PM | Final showcase: July 19, 2025 | Virtual | Grades 9-12
The Human Centered AI Summer Program is a 2-week, virtual immersion investigating how AI design can integrate or incorporate human, societal, environmental, health, and economic needs.
As AI technologies integrate and permeate our everyday lives, we become aware of how they impact our lives and the biases inherent in these systems. This class will introduce - investigating how AI design can integrate or incorporate human, societal, environmental, health, and economic needs.
Eligibility: Must be attending high school (grades 9-12) in the 2025-2026 school year. No previous experience with AI required.
Tuition for one grades 9-12 student: $3,150 (two weeks, virtual)
Tuition due dates:
Payment in Full: $3,150 (no additional payments) by June 13, 2025
Late Payment in Full (after original deadline): $3,199 (no additional payments) June 14-June 22, 2025
If you'd like to split your payment:
Payment One: $1,000 (reserves spot in the program): by May 9, 2025
Payment Two: $2,150 (balance due via this payment page): between April 26-June 13, 2025
Late Payment Two (after original deadline): $2,199 (balance due via this payment page): between June 14-June 22, 2025
Advance online payment required.
Tuition includes registration payment processing fees.
If paying for a student’s registration, please provide the student's name instead of your name when creating an online account or when using guest checkout so that we can match your payment with the accepted student’s name. You can provide your email address so that the payment confirmation receipt email is sent to your email address.
If you have questions about the Program, please email medicineandthemuse@stanford.edu.
Program registration and payment are managed by Stanford Event Registration & Ticketing Management department. If you have questions about registering and/or payment, please only email registrations@stanford.edu. Please do not send emails to others about registration/payment.
Faculty: Bryant Lin
Dr. Lin, MD, MEng, Clinical Professor of Medicine and Director of Medical Humanities and Arts, is an MIT trained engineer with 13 US patents and founder of several medical startups.
Course Lead: Reza Habibi
Reza Habibi, PhD candidate. I’m working on the broader question of How to achieve mutual understanding between humans and machines (LLMS), specifically focusing on how we can create tailored interactions with machines and enhance machine understanding of these interactions through visual communication. Additionally, I’m exploring the topics of Human-AI alignment and AI education. I hold Bachelor’s and Master’s degrees in Computer Science, emphasizing HCI, NLP, and immersive, interactive environments.