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Congressional Bootcamp 2023 Agenda: Day 2

Overview           Speakers         Agenda Day 1         Agenda Day 3

August 8, 2023

8:45a.m. - 9:15a.m. PDT

Breakfast and 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.

Speakers

Managing Director for Policy & Society, Stanford HAI
Senior Manager for Policy Initiatives, Stanford HAI
9:15a.m. - 10:15a.m. PDT

Session 1 | The Possibilities and Pitfalls of AI and Climate Sustainability

The risks and threats stemming from global climate change are becoming a growing issue for policymakers. At the same time, the rapid advancements of AI have presented possible opportunities to use this technology to help tackle our greatest climate challenges, from achieving net-zero emissions to preparing for extreme weather events. Conversely, AI continues to increasingly rely on compute power, which is an energy-intensive resource and contributes to the emission of CO2. As a result, there is mounting concern around AI’s environmental impact, drawing attention to the cost-benefit analysis of AI advancements. This session will unpack how AI can be used to help confront climate change while also better understanding AI’s own ripple effects in the environment.

Speakers

Professor of Earth and Planetary and, by courtesy, of Geophysics, Stanford University
Associate Professor of Civil and Environmental Engineering, Stanford University

Moderators

Director of Research, Stanford Institute for Human-Centered AI (HAI), Stanford University
10:15a.m. - 10:30a.m. PDT

Break

10:30a.m. - 11:30a.m. PDT

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

Associate Professor of Computer Science, Stanford University; Faculty Affiliate, Stanford HAI
Assistant Professor of Computer Science, Stanford University; Faculty Affiliate, Stanford HAI

Moderators

Assistant Professor of Research, Stanford Graduate School of Education; Director, IDEAL Research Lab
11:30a.m. - 12:30p.m. PDT

Session 3 | 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

Medicine Innovation Professor, Professor of Epidemiology and Population Health, of Health Policy, and, by courtesy, of Pediatrics, Stanford University
Professor of Radiology and Biomedical Informatics, Stanford University; Director, Center for Artificial Intelligence in Medicine and Imaging (AIMI); Associate Director, Stanford HAI
Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science, Stanford University; Chief Data Scientist, Stanford Health Care; Faculty Affiliate, Stanford HAI

Moderators

Professor of Health Policy, Stanford University; Co-Director, Stanford Health Policy Data Science Lab; Faculty Affiliate, Stanford HAI
12:30p.m. - 1:00p.m. PDT

Lunch

1:00p.m. - 2:00p.m. PDT

Session 4 | The Neuroscience of Addiction and Implications for a Digital World

This is a time of unprecedented access to high-reward, high-dopamine stimuli: drugs, food, news, gambling, shopping, gaming, texting, Facebooking, Instagramming, YouTubing, tweeting . . . The increased numbers, variety, and potency are staggering. As such, we’ve all become vulnerable to compulsive overconsumption. Yet, it is possible to find contentment and connectedness by keeping dopamine in check. This session will provide a practical, science-informed approach to addressing compulsive overconsumption of everything from food, to sex, to video games.

Speakers

Professor of Psychiatry and Behavioral Science, Stanford School of Medicine; Chief of the Stanford Addiction Medicine Dual Diagnosis Clinic

Moderators

Privacy and Data Policy Fellow, Stanford HAI
2:00p.m. - 3:00p.m. PDT

Session 5 | 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.

Speakers

William Benjamin Scott and Luna M. Scott Professor of Law, Stanford Law School; Director, Stanford Regulation, Evaluation, and Governance Lab; Faculty Associate Director, Stanford HAI
3:00p.m. - 6:00p.m. PDT

Break

6:00p.m. - 7:45p.m. PDT

Keynote Dinner | AI, Automation, and the Future of Work

AI and automation will have a rippling effect on today’s workforce and the future of work. Mainstream narratives forecast AI will displace workers and funnel profits up to a select few. Alternatively, AI has the potential to augment and supercharge labor, ensuring the benefits of AI are spread and enjoyed widely. This session dives into deeper detail regarding what exactly we should expect as AI and automation integrate into the economy and the subsequent consequences for the workforce. Dr. Erik Brynjolfsson will also discuss how policies can reshape and guide what the future holds.

Speakers

Director, Digital Economy Lab; Jerry Yang and Akiko Yamazaki Professor and Senior Fellow, HAI; Ralph Landau Senior Fellow, SIEPR; Professor by Courtesy Department of Economics; Professor by Courtesy, Graduate School of Business

Moderators

Policy Fellow, Stanford HAI