Introducing the LLM Forum Series

7 October 2023

The Princeton LLM Forum brings together leading scholars and researchers to discuss the implications that LLMs have on our understanding of language, society, culture, and theory of mind.

IMG_8487
LLM-Forum-Series-Poster_1080x1920

Want to learn more about how Artificial Intelligence (AI), especially Large Language Models (LLMs) like ChatGPT, are changing our world as researchers, teachers, and individuals?

Co-organized with the Department of Computer Science and supported by the Humanities Council, our new series, the Princeton LLM Forum, brings together leading scholars and researchers to discuss the implications that LLMs have on our understanding of language, society, culture, and theory of mind.

Each event features a conversation between an invited guest and a Princeton faculty respondent and centers on a theme. Consistent with AI's broad applications and implications, LLM Forum speakers represent a wide range of disciplines and backgrounds, from literature to politics to data science.

We hope to see you at our events throughout the 2023-24 academic year!

SOCIETY
October 25, 2023, 4:30-6 pm, Friend Center 101
(learn more; RSVP)

  • Meredith Whittaker (President of Signal)
  • Respondent: Arvind Narayanan (Computer Science; Center for Information Technology Policy)

Watch the recording below.

CULTURE
November 8, 2023, 4:30-6 pm, Friend Center 101
(learn more; RSVP)

  • Wai Chee Dimock (William Lampson Professor Emeritus of American Studies and English, Yale University; Research Affiliate, Harvard University Center for the Environment)
  • Respondent: Meredith Martin (English; Center for Digital Humanities)

Watch the recording below.

MODELS
February 21, 2024, 4:30-6 pm, Friend Center 101
(learn more; RSVP)

  • Simon DeDeo (cognitive scientist; William S. Dietrich II Career Development Chair, Carnegie Mellon University; External Faculty, Santa Fe Institute)
  • Respondent: Arthur Spirling (Politics)

Watch the recording below.

UNDERSTANDING
April 17, 2024, 4:30-6 pm, 010 East Pyne
(learn more; RSVP)

  • Tal Linzen (Associate Professor of Linguistics and Data Science, New York University)
  • Respondent: Tania Lombrozo (Psychology; Program in Cognitive Science)

Recording will be pasted below after the event.