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.

Speakers

Anna Qingfeng Li

Hosts

Neil Thompson

MIT FutureTech

Rob Seamans

New York Univresity

Emanuele Del Sozzo

MIT FutureTech

Matthias Mertens

MIT FutureTech

Agenda

Thursday, October 23rd

9:00 AM

Kickoff

Session 1:
The Drivers and Consequences of AI Progress

9:30 AM

" AI Adoption in America: Who, What, and Where"

Kristina McElheran

University of Toronto

10:15 AM

"From AI Scientist to Self-Improving AI"

Yutaro Yamada

Sakana AI

11:00 AM

Break

11:15 AM

"The Role of Open Models in the AI Economy"

Frank Nagle

MIT

12:00 PM

TBA

Gary Marcus

New York University

12:45 PM

Lunch

Session 2:
Automation of Science

1:45 PM

Introduction to Session 2

2:00 PM

TBA

Karianne J Bergen

Brown University

2:45 PM

"Accelerating Drug Discovery Through Cell Painting: A Blueprint for AI Adoption in Biology"

Shantanu Singh

The Broad Institute

3:30 PM

Break

3:45 PM

"How foundation models accelerate scientific discovery: from experiments to algorithms"

Patrick Ruch

IBM

4:30 PM

TBA

Tamara Broderick

MIT

5:15 PM

Adjourned

6:30 PM

Dinner at Catalyst Restaurant

Friday, October 24th

9:00 AM

Kickoff

Session 3:
Automation in the Labor Market and Economy

9:15 AM

"Expertise"

David Autor

MIT

10:00 AM

"How People Use ChatGPT"

David Deming

Harvard Kennedy School

10:45 AM

Break

11:00 AM

"AI Reality Check: Insights from the Frontlines of Adoption"

Beena Ammanath

Deloitte AI Institute

11:45 AM

TBA

Yilun Du

Harvard University

12:30 PM

Lunch

Session 4:
Constraints to AI Progress

1:30 PM

Introduction to Session 4

1:45 PM

"AI Capabilities and Potential Bottlenecks"

Ben Jones

Northwestern University

2:30 PM

"Get Ready for the AI Memory Wall"

Anna Li

Locations

MIT Schwarzman College of Computing

‍51 Vassar St, 8th floor, Cambridge, MA 02139

Catalyst Restaurant

300 Technology Square, Cambridge, MA 02139

Row 34 Restaurant

314 Main St, Cambridge, MA 02142

Contact

This workshop is organized by the FutureTech team (Neil Thompson, Emanuele Del Sozzo, Matthias Mertens, Lucy Yan, and Shiobhain Warren-Jenkins) and the NYU Stern Center for the Future of Management (Robert Seamans).
For questions or more information, reach out to mmertens@mit.edu or call Shiobhain +1 617-869‑7749

Speakers

Hosts

Agenda

Locations

Contact

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