About the Talk:

AI Economics in the OpenAI Forum was jam packed with research and thought leadership exploring the intersection of AI and all sectors of the economy. Join us for our watch party followed by a live Q&A session with OpenAI researchers and attendees of the all day event that unfolded in OpenAI's San Francisco's office.

We'll kick off the session with a presentation by Noam Brown, OpenAI research scientist, and former student of economics. Brown argues that generality-contemporary AI models' ability to perform various tasks without being specialized for them, is what makes today’s AI, particularly models like ChatGPT, different from past AI milestones such as IBM’s Deep Blue and Watson.

The second half the day, attendees of AI Economics broke into smaller groups to discuss themes that aligned with their areas of expertise or deep interest including, AI and decision-making, the impact of AI in education, AI capabilities, AI in geopolitics, AI as an economic research tool, AI and enterprises, and how we can improve data collection to measure AI’s economic effects. Each group shares a recap of their discussion with the larger group, and we're giving Forum members a front row seat to these presentations.

Stick around to the end and connect with OpenAI Economics researchers and attendees from the event for a live Q&A and networking session.

About the Speakers:

Noam Brown, Member of Technical Staff @ OpenAI

Noam Brown is a leading researcher in multi-agent reasoning at OpenAI, known for co-creating the first superhuman AIs for no-limit poker and the first human-level AI for the strategy game Diplomacy. He holds a Ph.D. in Computer Science from Carnegie Mellon University and previously worked as a Senior Research Assistant at the Federal Reserve Board, where he researched algorithmic trading in the foreign exchange market.

Ronnie Chatterji, Chief Economist @ OpenAI

Aaron “Ronnie” Chatterji, Ph.D., is OpenAI’s first Chief Economist. He is also the Mark Burgess & Lisa Benson-Burgess Distinguished Professor at Duke University, working at the intersection of academia, policy, and business. He served in the Biden Administration as White House CHIPS coordinator and Acting Deputy Director of the National Economic Council, shaping industrial policy, manufacturing, and supply chains. Before that, he was Chief Economist at the Department of Commerce and a Senior Economist at the White House Council of Economic Advisers. He is on leave as a Research Associate at the National Bureau of Economic Research and previously taught at Harvard Business School. Earlier in his career, he worked at Goldman Sachs and was a term member of the Council on Foreign Relations. Chatterji holds a Ph.D. from UC Berkeley and a B.A. in Economics from Cornell University.

Tom Cunningham, Data Scientist @ OpenAI

Tom Cunningham is an economist and data scientist with expertise in strategy, antitrust, advertiser behavior, auction design, and network effects, including experimentation, modeling, and tipping points. He is currently a Data Scientist at OpenAI and has previously held roles at Twitter as a Senior Staff Data Scientist and at Facebook as both an Economist in Core Data Science and a Data Scientist. His academic background includes a Ph.D. in Economics from the London School of Economics, and he has also contributed to research and teaching as an Assistant Professor at Stockholm University and a Visiting Associate at Caltech.

Hemanth Asirvatham, Economist @ OpenAI

Hemanth Asirvatham is a member of the Economic Research team at OpenAI, primarily involved in using LLMs as economic research tools and exploring the intersections of AI with labor, quality of life, and tech adoption. He recently graduated from Harvard University with a degree in Economics.