Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
New Horizons in Generative AI: Science, Creativity, and Society | Stanford HAI

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

Navigate
  • About
  • Events
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Fellowship Programs
    • Grants
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
Your browser does not support the video tag.
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
8:30am PST

Check-In Open

Breakfast Available.

9:00am PST

Welcome and Introduction

9:10am PST

Opening Keynote

9:50am PST

Session 1: Sciences

Providing new windows into the natural world to enhance human understanding.

11:20am PST

Break

15-minute break

11:35am PST

Session 2: Creativity

Challenging, redefining, and expanding notions of human creativity.

1:05pm PST

Lunch

1 hour lunch break

2:15pm PST

Music & AI: What Do We (Really) Want?

2:45pm PST

Session 3: Society

Envisioning a flourishing pluralistic society of humans and AI agents.

4:15pm PST

Break

15-minute break

4:30pm PST

Machine Learning for Translatable Drug Discovery

5:10pm PST

Closing Remarks

5:15pm PST

Networking Reception

Reception in the Gates Computer Science Building Courtyard. 

Overview
Agenda
Speakers
Share
Link copied to clipboard!
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

Related Events

AI+Education Summit 2026
ConferenceFeb 11, 20268:00 AM - 5:00 PM
February
11
2026

The AI Inflection Point: What, How, and Why We Learn

Conference

AI+Education Summit 2026

Feb 11, 20268:00 AM - 5:00 PM

The AI Inflection Point: What, How, and Why We Learn

Tom Mitchell | The History of Machine Learning
Feb 23, 202612:00 PM - 1:00 PM
February
23
2026

How did we get to today’s technology which now supports a trillion dollar AI industry? What were the key scientific breakthroughs? What were the surprises and dead-ends along the way...

Event

Tom Mitchell | The History of Machine Learning

Feb 23, 202612:00 PM - 1:00 PM

How did we get to today’s technology which now supports a trillion dollar AI industry? What were the key scientific breakthroughs? What were the surprises and dead-ends along the way...

Gaidi Faraj, Lofred Madzou | Nurturing Africa’s AI Leaders through Math Olympiad
SeminarFeb 25, 202612:00 PM - 1:15 PM
February
25
2026

The African Olympiad Academy is a world-class high school dedicated to training Africa’s most promising students in mathematics, science, and artificial intelligence through olympiad-based pedagogy.

Seminar

Gaidi Faraj, Lofred Madzou | Nurturing Africa’s AI Leaders through Math Olympiad

Feb 25, 202612:00 PM - 1:15 PM

The African Olympiad Academy is a world-class high school dedicated to training Africa’s most promising students in mathematics, science, and artificial intelligence through olympiad-based pedagogy.

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
Speakers
Shakir Mohamed
Senior Research Scientist, Google DeepMind
Speakers
Alex Rives
Computer scientist focused on language models for biology on Evolutionary Scale Language Models
Pratyusha Sharma
PhD Candidate, EECS, MIT on Understanding Sperm Whale Communication
Aditi Sheshadri
Assistant Professor of Earth System Science and, by courtesy, Senior Fellow at the Woods Institute for the Environment, Stanford University
Moderators
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
Speakers
Chris Donahue
Assistant Professor, Carnegie Mellon University; Part-time Research Scientist, Google Magenta on Music Generation with Precise Control and Composable Outputs
Angjoo Kanazawa
Assistant Professor, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley; Director, Kanazawa AI Research (KAIR); Advisory Board: Wonder Dynamics and Luma AI
Been Kim
Senior Staff Research Scientist, Google DeepMind on Leveraging Alphazero to Improve our Understanding & Creativity in Chess
Lisa Schut
Doctoral Candidate in Machine Learning, University of Oxford; Research Scientist Intern, Google DeepMind on Leveraging Alphazero to Improve our Understanding & Creativity in Chess
Moderators
Diyi Yang
Assistant Professor, Computer Science Department, Stanford University
Speakers
Ge Wang
Associate Professor of Music and Associate Professor, by courtesy, of Computer Science, Stanford | Associate Director and Senior Fellow, Stanford HAI
Speakers
Erik Brynjolfsson
Director, Stanford Digital Economy Lab; Jerry Yang and Akiko Yamazaki Professor and Senior Fellow, Stanford HAI; Ralph Landau Senior Fellow, Stanford Institute for Economic Policy Research on The Turing Trap
Jaron Lanier
Prime Unifying Scientist, Microsoft on Data Dignity
Joon Sung Park
Ph.D. Candidate of Computer Science, Stanford University on Generative Agents: Interactive Simulacra of Human Behavior
Ashia Wilson
Assistant Professor, Department of Electrical Engineering and Computer Science, MIT
Moderators
Rishi Bommasani
Senior Research Scholar, Stanford HAI
Speakers
Daphne Koller
CEO and Founder, insitro; Adjunct Professor of Computer Science, Stanford University
Speakers
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