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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 potential and pitfalls of these models, and fin
d ways to harness the transformative power of these models.
Participants
Aditya Vashistha, |
Information Science, kizilcec@cornell.edu |
Cristobal |
Matthew Wilkens, |
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Alvaro Soto Chilean National |
Brett Bobley |
danah boyd Microsoft Research
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Diyi Yang Stanford University
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Edward McFowland Harvard University |
Eisha Buch Common Sense Media |
Inioluwa Deborah Raji UC Berkeley |
Kalika Bali Microsoft Research India |
Katharina Reinecke University of Washington |
Marzyeh Ghassemi MIT |
Meredith Ringel Morris Google DeepMind |
Rumman Chowdhury Berkman Klein Center |
Suhel Bidani Gates Foundation
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Tarleton Gillespie Microsoft Research |
Yulia Tsvetkov University of Washington
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Tentative Agenda