Ai Education Summit at Standford

This plenary session at the Congressional Boot Camp on AI spotlights how AI is reshaping global governance, innovation, and private sector leadership. It was held as part of HAI’s flagship policy education program which convenes senior bipartisan, bicameral congressional staffers to campus for a deep dive into the frontiers of AI. Speakers include: Alice Friend, Global Head of AI and Emerging Technology Policy, Google Sarah Guo, Founder and Managing Partner, Conviction Matt Perault, Head of AI Policy, Andreessen Horowitz Navrina Singh, Founder and CEO, CredoAI Rohini Kosoglu, Policy Fellow, Stanford HAI (Moderator)

This plenary session at the Congressional Boot Camp on AI spotlights how AI is reshaping global governance, innovation, and private sector leadership. It was held as part of HAI’s flagship policy education program which convenes senior bipartisan, bicameral congressional staffers to campus for a deep dive into the frontiers of AI. Speakers include: Sarah Friar, Chief Financial Officer, OpenAI; Advisory Group Co-Chair, Stanford Digital Economy Lab Dr. Fei-Fei Li, Sequoia Professor of Computer Science, Stanford University; Denning Co-Director, Stanford HAI Secretary 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 Russell Wald, Executive Director, Stanford HAI (Moderator)

IBM Synthetic Data Sets (SDS) were developed for use cases in the financial industry. Erik Altman, a research scientist at IBM, explores how SDS can label fraud and criminal activity, offering a strong foundation for training AI detection models. Unlike many current synthetic data approaches, SDS is not built using large language models but through an agent-based virtual world design. Altman highlights the key advantages of this method, as well as the challenges it poses for training effective detection models. This seminar was recorded on May 7, 2025 at Stanford University.

Now in its fifth year, Stanford HAI's Congressional Boot Camp on AI has been bridging the critical gap between Silicon Valley and Capitol Hill. Building on the legacy of a pioneering cybersecurity boot camp at Stanford, this intensive program brings House and Senate staffers to Stanford's campus, where they engage with world-class scholars, Silicon Valley leaders, and civil society pioneers to explore the latest AI developments and gain the comprehensive knowledge needed to think critically about regulating and governing this rapidly evolving technology. As AI advancements continue to outpace traditional policy frameworks, our boot camp leverages the multidisciplinary expertise across all seven Stanford schools to equip participants with both the technical understanding and policy insights essential for shaping the future of AI governance.

Co-authors Dave Patterson and Andy Konwinski discuss themes from their new research paper, "Shaping AI's Impact on Billions of Lives." As is often the case with widely-used technologies in market economies, the AI community is at risk of becoming polarized to either take a laissez-faire attitude toward AI development, or to call for government overregulation. Between these two poles, the authors argue that we are still in the early days of practical AI, and that focused efforts by practitioners, policymakers, and other stakeholders can still maximize the upsides of AI and minimize its downsides. This seminar was recorded on May 21, 2025 at Stanford University.

The rapid ascent of OpenAI has been central in showcasing the disruptive power of artificial intelligence to the public. In this seminar, moderator Patrick Hynes and award-winning AI journalist Karen Hao discussed her new book "Empire of AI", explored the breakneck rise of OpenAI, and examined the industry’s broader ambitions. This thought-provoking conversation investigates the past, present, and future of AI—what’s at stake, who stands to gain, and who is being left behind. This seminar was recorded on May 29, 2025 at Stanford University.

The AI Index, currently in its eighth year, tracks, collates, distills, and visualizes data relating to artificial intelligence. Nestor Maslej, Research Manager at Stanford Institute for Human-Centered AI, shared insights from the 2025 Index Report covering AI trends related to research and development, technical performance, technical AI ethics, the economy, education, policy and governance, diversity and public opinion. Led by a steering committee of influential AI thought leaders, the Index is the world’s most comprehensive report on trends in AI. The 2025 report provides unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, journalists, executives, and the general public to develop a deeper understanding of the complex field of AI. This seminar was recorded on April 30, 2025 at Stanford University.