This conference, organized by MIT FutureTech in collaboration with the NYU Stern Center for the Future of Management, aims to explore the impact of AI on the automation of science and the labor market as well as the drivers and constraints of AI progress.
Conference Sessions
Session 1: The Drivers and Consequences of AI Progress
This session explores key factors driving AI progress, such as hardware of software advancements and platform innovations, and discusses how AI progress affects the economy.
Session 2: Automation of Science
This session explores how AI adoption is transforming scientific research, from developing and deploying foundation models in multiple scientific domains to the impact of AI on creativity, discovery, and innovation, as well as how AI can improve AI itself.
Session 3: Automation in the labor market and economy
This session focuses on how AI adoption is reshaping firms’ practices, workforce needs, and overall economic dynamics, including whether AI substitutes for or complements human labor.
Session 4: Constraints to AI Progress
This session discusses constraints on AI development, constraints that should be applied to AI, and constraints to the widespread adoption of AI.