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New Horizons in Generative AI: Science, Creativity, and Society | Stanford HAI

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eventConference

New Horizons in Generative AI: Science, Creativity, and Society

Status
Past
Date
Tuesday, October 24, 2023 9:00 AM - 5:00 PM PST/PDT
Location
Gates Computer Science Building, Room 119, Stanford University
Topics
Sciences (Social, Health, Biological, Physical)
Overview
Agenda
Speakers

AI has entered the public sphere, catalyzed by the recent wave of generative AI. But there is much more that constitutes AI research than just language models and image generation. In this conference, we bring to the fore the broader spectrum of AI research: AI in the Sciences, AI in Creative Disciplines, and AI in Society.

Event Organizers
Rishi Bommasani
Society Lead, Stanford Center for Research on Foundation Models; Ph.D. Candidate of Computer Science, Stanford University
Surya Ganguli headshot
Surya Ganguli
Associate Professor of Applied Physics, and by courtesy, of Neurobiology, of Electrical Engineering, and of Computer Science, Stanford University | Associate Director and Senior Fellow, Stanford HAI
Percy Liang
Percy Liang
Associate Professor of Computer Science, Stanford University | Director, Stanford Center for Research on Foundation Models | Senior Fellow, Stanford HAI
Vanessa Parli
Director of Research
Ahmad Rushdi
Senior Manager of Research Collaborations

Watch the Recordings

Overview
Agenda
Speakers
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Event Contact
HAI Events Team
stanford-hai@stanford.edu
Related
  • Surya Ganguli
    Associate Professor of Applied Physics, and by courtesy, of Neurobiology, of Electrical Engineering, and of Computer Science, Stanford University | Associate Director and Senior Fellow, Stanford HAI
    Surya Ganguli headshot
  • Curtis Langlotz
    Senior Associate Vice Provost for Research | Professor of Radiology (Integrative Biomedical Imaging Informatics), of Medicine (Biomedical Informatics Research), of Biomedical Data Science | Senior Fellow, Stanford HAI
    Curt Langlotz headshot
  • Percy Liang
    Associate Professor of Computer Science, Stanford University | Director, Stanford Center for Research on Foundation Models | Senior Fellow, Stanford HAI
    Percy Liang

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