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Spring 2023


AI FUTURES: An Interdisciplinary Conversation on Large Language Models and the Future of Human Writing”
Thurs. February 16, 5:00PM ET
Virtual Roundtable with Kyle Booten (English, University of Connecticut), Sam Bowman (Data Science/Linguistics/CS, NYU – Visiting Researcher, Anthropic AI), Liz Losh (Rhetoric/American Studies, William & Mary), and Nasrin Mostafazadeh (AI Researcher, Co-Founder Verneek). 
Working from interdisciplinary standpoints in academia and industry, our roundtablers take up this topic in the wake of OpenAI’s recent release of ChatGPT, and its banning by NYC schools. Join our experts as they discuss the underlying technology of LLMs, their potential uses and abuses, and their likely impact on the future of human writing. 
Moderator/Introducer: Carter Mathes (English, Rutgers)
Register here, and look out for a blog by Anna Mills (English, College of Marin) following the event! (See also Mills’ co-authored blog post, “Adapting College Writing for the Age of Large Language Models.”


“Victorian ‘Artificial Intelligence’: A Call to Arms” 
Thurs. April 6, 4:00PM ET
In-Person Location: Rutgers Academic Building WW, CCA Seminar Room 6051
A hybrid (in-person/Zoom) panel and discussion, which will feature presentations by Sophia Hsu (CUNY), Pamela K. Gilbert (University of Florida), and Lauren M.E. Goodlad (Rutgers). This panel discussion offers an informative “way in” to a topic of urgency while connecting to ongoing research questions for humanists across disciplines. As “AI” increasingly dominates strategic initiatives in teaching and research, humanists and interpretive social scientists must join the growing conversation over this so-called fourth industrial revolution.
Co-organized with the Rutgers British Studies Center
Respondent: Meredith Martin (Center for Digital Humanities, Princeton)
Moderator/Introducer: Anand Sarwate (Electrical & Computer Engineering, Rutgers).
Zoom Registration here.


Fall 2022


Virtual Lecture/Discussion with Gary Marcus (co-author Rebooting AI)
Tues. November 29, 5:00PM ET
Marcus, co-author of Rebooting AI: Building Artificial Intelligence We Can Trust and author of the substack AI We Can Trust, joins us to discuss large pretrained language models. Examples such as GPT-3 and PaLM have generated enormous enthusiasm and are capable of producing remarkably fluent language. But they have also been criticized on many grounds, and described as “stochastic parrots.” Are they adequate as a basis for Artificial General Intelligence (AGI) and, if not, what would a better foundation for general intelligence look like?
Co-organized with Rutgers Center for Cognitive Science
Moderator/Introducer: John McGann (RuCCS)
Check out the video, and a blog on the event is coming soon.


In-Person/Virtual Lecture/Discussion with Vukosi Marivate (University of Pretoria)
Thurs. December 15 10:30AM-12PM ET
CoRE 301 (Busch Campus) and on Zoom
Marivate, Chair of Data Science and leader of the Data Science for Social Impact group, will describe his work to ensure that African languages and local language tasks “count” on the African continent and beyond. Such research into African NLP is part of an important multidisciplinary conversation. As large language models continue to power the dominant paradigm in conversational “AI,” these technologies focus on English (especially as spoken in North America) and other “western” languages and populations.
Co-organized with the Department of Computer Science, DIMACS and the Institute for the Study of Global Racial Justice
Moderator/Introducer: Matthew Stone (Computer Science, Rutgers)
Check out the video and Eleni Coundouriotis’s blog of this event!


For more information on and video recordings of our past events click here!