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Thought Summit: LLMs and Society

Thought Summit: LLMs And Society

When

Mon, 05/19/2025 to Wed, 05/21/2025

Where

Bill and Melinda Gates Hall, Cornell University, Ithaca

Overview


Generative AI technologies like Large language models (LLMs) are rapidly becoming a part of people’s daily lives worldwide with its effects being felt nearly everywhere, including in high-stakes contexts like healthcare, law, education, negotiation, and civic participation. While AI has brought transformative advances in these areas, research has shown that it can also have negative consequences.  For example, to date these technologies have primarily benefited people in the West, which make up only a small fraction of the global population. Similarly, the risks of AI are considered primarily in such Western contexts even though these technologies are used all around the globe.

The 3-day thought summit will explore, analyze, and chart the future of LLMs and their integration into high-stakes settings in an increasingly complex and interconnected world. The summit will bring together experts, researchers, and thought leaders from diverse fields, who will delve into the implications and applications of LLMs for discovery, decision support, and creativity in diverse domains and geographies. The summit will foster a deeper understanding of the ethical, technical, and regulatory challenges that accompany the use of LLMs in such environments, discuss the potential and pitfalls of these models, and find ways to harness the transformative power of these models.

Participants


A color photo of Aditya Vashistha

Aditya Vashistha

CIS, Cornell

A color photo of Allison Koenecke

Allison Koenecke

CIS, Cornell

Alvaro Soto

Alvaro Soto

Chilean National Center for AI

Brett Bobley

Brett Bobley

National Endowment For The Humanities

Candace Thille

Candace Thille

Stanford University

A color photo of Carl DiSalvo

Carl DiSalvo

Georgia Tech

danah boyd

danah boyd

Microsoft Research

Diyi Yang

Diyi Yang

Stanford University

A black and white photo of Duarte Santo

Duarte Santo

Landscape Architecture, Cornell

Eisha Buch

Eisha Buch

Common Sense Media

Inioluwa Deborah Raji

Inioluwa Deborah Raji

UC Berkeley

Kalika Bali

Kalika Bali

Microsoft Research India

Katharina Reinecke

Katharina Reinecke

University of Washington

Kavita Bala

Kavita Bala

Provost, Cornell

Lee Humphreys

Lee Humphreys

Communication, Cornell

A color photo of Malte Jung

Malte Jung

CIS, Cornell

A color photo of Marc Miller

Marc Miller

Penn State

Maria Goula

Maria Goula

Landscape Architecture, Cornell

Marten van Schijndel

Marten van Schijndel

Linguistics, Cornell

Matthew Wilkens

Matthew Wilkens

CIS, Cornell

Mor Naaman

Mor Naaman

Cornell Tech

Natalie Bazarova

Natalie Bazarova

Communication, Cornell

Rene Kizilcec

Rene Kizilcec

CIS, Cornell

Rumman Chowdhury

Rumman Chowdhury

Berkman Klein Center for Internet & Society

Sanjay Kairam

Sanjay Kairam

OpenAI

Shyam Sundar

Shyam Sundar

Penn State

Steve Jackson

Steve Jackson

CIS, Cornell

Suhel Bidani

Suhel Bidani

Gates Foundation

Tarleton Gillespie

Tarleton Gillespie

Microsoft Research New England

Thorsten Joachims

Thorsten Joachims

CIS, Cornell

Yulia Tsvetkov

Yulia Tsvetkov

University of Washington

Tentative Agenda


May 19 (Mon) May 20 (Tue) May 21 (Wed)
8:30-9 a.m. Welcome Breakfast Breakfast Breakfast
9-11:30 a.m. Introduction & Interaction Activity Responsible LLMs & Issues
Small Groups
Documentation & Consolidating Finding
12-1 p.m. Metrics of Success Responsible LLMs & Issues
Presentation
Propose Collaborations
1-2 p.m. Lunch Lunch Lunch
2-4:30 p.m. High-Stakes Domains
Small Groups
High-Stakes Populations
Small Groups
Public Panel
4:45-5:45 p.m. High-Stakes Domains
Presentations
High-Stakes Populations
Presentations
Reflections & Next Steps
6:30-8 p.m. Dinner Dinner Closing Dinner

Venue


The Summit will take place at the Bill and Melinda Gates Hall in Cornell University Campus in Ithaca.

Directions, Parking, Maps, Restaurants & other things to do at Ithaca

Sponsor


Center for Data Science for Enterprise and Society