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LLM Forum: A Conversation with Meredith Whittaker

Meredith Whittaker, President of Signal; Arvind Narayanan, Center for Information Technology Policy and Department of Computer Science

October 25, 2023 · 4:30 pm6:00 pm · 101 Friend Center

Center for Digital Humanities; Department of Computer Science; Humanities Council

Recent breakthroughs in Artificial Intelligence (AI) have produced a new class of neural networks called Large Language Models (LLMs) that demonstrate a remarkable capability to generate fluent, plausible responses to prompts posed in natural language. While LLMs have already revolutionized certain industry applications, the debut of ChatGPT has generated new anxiety and curiosity about machine intelligence, especially in the way we teach, research, tell stories and report facts.

Register for this event here.

The Princeton LLM Forum is bringing together leading scholars and researchers from a variety of disciplines and fields to discuss the implications that large language models (LLMs) have on our understanding of language, society, culture, and theory of mind. Join us for our first panel, a discussion between Meredith Whittaker, president of Signal, and Arvind Narayanan, Professor of Computer Science and Director of the Center for Information Technology Policy at Princeton, about the implications of LLM technology on society.

Meredith Whittaker is the President of Signal. She is the current Chief Advisor, and the former Faculty Director and Co-Founder of the AI Now Institute. Her research and advocacy focus on the social implications of artificial intelligence and the tech industry responsible for it, with a particular emphasis on power and the political economy driving the commercialization of computational technology. Prior to founding AI Now, she worked at Google for over a decade, where she led product and engineering teams, founded Google’s Open Research Group, and co-founded M-Lab, a globally distributed network measurement platform that now provides the world’s largest source of open data on internet performance. She has advised the White House, the FCC, FTC, the City of New York, the European Parliament, and many other governments and civil society organizations on artificial intelligence, internet policy, measurement, privacy, and security.

Co-organized by the Center for Digital Humanities and the Department of Computer Science. Supported by the Humanities Council’s Magic Project.

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