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Stanford HAI 2025 Congressional Boot Camp on Artificial Intelligence | Stanford HAI

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eventConference

Stanford HAI 2025 Congressional Boot Camp on Artificial Intelligence

Status
Past
Date
Monday, August 11, 2025 - Wednesday, August 13, 2025
Location
Gates Computer Science Building 353 Jane Stanford Wy Room 119 Stanford, CA, 94035
Topics
Regulation, Policy, Governance
Industry, Innovation
Government, Public Administration
About the Congressional Boot Camp on AI
Day 1 Agenda
Day 2 Agenda
Day 3 Agenda
Watch Event Recordings
About the Congressional Boot Camp on AI
Day 1 Agenda
Day 2 Agenda
Day 3 Agenda
Watch Event Recordings
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Event Contact
Stanford HAI
stanford-hai@stanford.edu

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Day 2 Agenda


8:45-9:00 am


9:00-10:00 am


10:00-10:15 am

Break


10:15-11:15 am


11:15 am-12:15 pm


12:15-1:45 pm

Lunch


1:45 - 2:45 pm


2:45 - 3:30 pm


3:30 - 4:00 pm

Shuttle to Stanford Alumni Center 


4:00-5:00 pm


5:00-6:00 pm


6:00-7:30 pm

Breakfast/Debrief

Stanford HAI staff will lead a discussion debriefing the key concepts that staffers learned in earlier sessions. They will also offer a preview of Day 2 and leave ample time for questions. 

Session 1:
Transforming Healthcare Through Innovation

Some of the most exciting advances of this technological wave are focused on healthcare: faster and better diagnoses, enhanced therapies, increased hospital standards which reduce patient harms, and protein folding which has the potential to cure debilitating diseases. Healthcare is on the cusp of a revolution that will advance human well-being. At the same time, the United States faces an incredible shortage of qualified healthcare workers, lacks proper evaluation of medical devices, and struggles with unclear liability risk/clinician responsibility. These mounting challenges raise the question, can AI help “save” the U.S. healthcare system? This session will highlight the coming changes in healthcare, the opportunities and risks AI presents, and how policies can ensure safe and robust health systems. 

Speakers
Curt Langlotz headshot
Curtis Langlotz
Senior Associate Vice Provost for Research | Professor of Radiology (Integrative Biomedical Imaging Informatics), of Medicine (Biomedical Informatics Research), of Biomedical Data Science | Senior Fellow, Stanford HAI
Michelle Mello
Professor of Law, Stanford Law School; Professor of Health Policy, Department of Health Policy, Stanford University School of Medicine
Nigam Shah
Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science, Stanford University; Chief Data Scientist, Stanford Health Care; Faculty Affiliate, Stanford HAI
Moderator
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Caroline Meinhardt
Policy Research Manager
Session 2:
Revolutionizing the Classroom: How AI Is Advancing Education

AI has the potential to dramatically improve education. From teacher support to personalized student engagement, AI could democratize extraordinary teaching and learning. But dangers and concerns loom. Collecting data from children raises privacy concerns, and current inequities in the education system might be exacerbated by the introduction of AI. This session will look into how AI can be leveraged to improve the education system without causing harm to teachers and students. 

Speakers
Dora Demszky
Assistant Professor of Education Data Science, Stanford University
Daniel Schwartz
I. James Quillen Dean, Stanford Graduate School of Education, Nomellini & Olivier Professor of Educational Technology, The Halper Family Faculty Director of the Stanford Accelerator for Learning
Moderator
Isabelle Hau
Executive Director, Stanford Accelerator for Learning
Session 3:
Modernizing a Mammoth: Use-Cases of Public Sector AI

The U.S. government is in great need of a technological upgrade. From streamlining administrative processes to providing personalized services to constituents, there is ample opportunity for AI to help government agencies achieve their missions. However, integrating AI into the government is not as easy as obtaining and deploying the technology. Talent, infrastructure, public trust, and morale play equally important roles in ensuring the successful modernization of government. This session will dive into current use-cases of AI in government, the challenges and successes of these cases, and how to improve the integration of new technologies that will help the government serve its citizens. 

Speaker
Dan Ho headshot
Daniel E. Ho
William Benjamin Scott and Luna M. Scott Professor of Law | Professor of Political Science | Professor of Computer Science (by courtesy) | Senior Fellow, Stanford HAI | Senior Fellow, Stanford Institute for Economic and Policy Research | Director of the Regulation, Evaluation, and Governance Lab (RegLab)
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AI in Motion: Role of Robotics in the Next Chapter of  AI Development

As AI systems grow more advanced, their integration with robotics opens up new possibilities for how machines perceive, navigate, and act within the physical world. While large language models have accelerated progress in AI, embodied AI offers the potential to embed this intelligence into our daily lives in transformative ways. Could AI-powered robotics expand access to healthcare? Will autonomous vehicles fundamentally reshape our transportation systems? This session will explore the pivotal intersection of AI and robotics and examine the far-reaching implications across a range of policy domains.

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Jeannette Bohg
Assistant Professor of Computer Science, Stanford University
Monroe Kennedy
Assistant Professor of Mechanical Engineering, Stanford University | Stanford HAI Affiliated Faculty
Allison Okamura
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Vanessa Parli
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The Role of Business: Policy Implications of Industry Leadership in AI

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Alice Friend
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Matt Perault
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Navrina Singh
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Reception

Keynote Dinner
Charting the Future: Open Innovation in an Era of Global AI Competition

The United States has long led the world in AI innovation, fueled by a vibrant ecosystem of academic research, industry entrepreneurship, and open collaboration. But as geopolitical tensions rise and global competitors scale up their investments in AI, the foundation of open innovation faces new challenges. This keynote will explore how the U.S. can sustain its leadership in AI amidst strategic competition—balancing national security, economic competitiveness, and democratic values. The discussion will examine how government, academia, the private sector, and civil society can collectively shape the future of AI, and how today’s policy decisions may chart the course for innovation in the years ahead. 

Speakers
Sarah Friar
Chief Financial Officer, OpenAI; Advisory Group Co-Chair, Stanford Digital Economy Lab
fei fei li headshot
Fei-Fei Li
Denning Co-Director, Stanford HAI | Sequoia Professor of Computer Science, Stanford University
Condoleezza Rice
Tad and Dianne Taube Director, Hoover Institution; Denning Professor in Global Business and the Economy, Stanford Graduate School of Business; Advisory Council Member, Stanford HAI
Moderator
Russell Wald headshot
Russell Wald
Executive Director