Clara Langevin
Clara Langevin is a Senior Manager, AI Policy on the Emerging Technologies team. She focuses on promoting responsible AI adoption across different sectors and creating policy guidance on AI and data ethics, transparency, and explainability. Before joining FAS, Clara was the Head of the AI and Machine Learning Platform at the Centre for the Fourth Industrial Revolution Brazil, a World Economic Forum Affiliate where she led projects on public sector AI procurement, healthcare and AI, and precision agriculture. Clara is a graduate of Columbia University’s School of International and Public Affairs (MPA- Development Practice) and the University of Washington’s Jackson School of International Studies.
David Wood
Dr. David A. Wood is passionate about understanding new technologies and implementing them into the curriculum of Brigham Young University, where he works as the Glenn D. Ardis professor of accounting. He has published over 250 articles in a combination of respected academic and practitioner journals, monographs, books, and cases, including a recently released book on AI titled, “Rewiring your Mind for AI: How to Think, Work, and Thrive in the Age of Intelligence”. He has been awarded more than 30 awards for teaching, research, and service contributions. He has helped companies and organizations around the world learn about and implement GenAI and other tech topics. He was previously named by Accounting Today one of the 100 most influential people in accounting. He has worked with the EY Academic Resource Center to (EYARC) to produce https://experience.eyarc.site/, which hosts free, cutting-edge content for universities to use.
Josh Tan
Joshua Tan leads tech at Current AI and Public AI. He also runs Stanford AO, an incubator x lab for autonomous organizations at Stanford OpenLab, and is co-founder of Metagov, a laboratory for engineering institutions. He completed his PhD and postdoc at Oxford and previously held fellowships at Stanford (at the Digital Civil Society Lab), Princeton (in the CS department), and MIT (in the math department). His work explores the intersection between artificial and collective intelligence.
Joshua Tan helps lead the movement for public AI. He also leads Stanford AO, an incubator x lab for autonomous organizations, and is co-founder of Metagov, a laboratory for engineering institutions.
Joshua Tan is co-founder and research director at Metagov, a laboratory for engineering institutions. His work explores the intersection between artificial and collective intelligence. He completed his PhD and postdoc at Oxford, previously held fellowships at Stanford (at the Digital Civil Society Lab), Princeton (in the CS department), and MIT (in the math department), and taught at Harvard (in the law school) and Carnegie Mellon (in the policy school). His work has been funded by the NSF, Ford Foundation, EPSRC, EU Next Generation Internet, Henry Luce Foundation, One Project, NIST, Ethereum Foundation, Optimism Foundation, and others.
