Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Fei-Fei Li in Conversation with John Hennessy on Her New Book: The Worlds I See | Stanford HAI
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
Navigate
  • About
  • Events
  • AI Glossary
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us

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

event

Fei-Fei Li in Conversation with John Hennessy on Her New Book: The Worlds I See

Status
Past
Date
Wednesday, November 08, 2023 5:00 PM - 7:30 PM PST/PDT
Location
John A. and Cynthia Fry Gunn Building (Koret-Taube Room) 366 Galvez Street, Stanford, CA 94305

This community book launch of The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI, by Fei-Fei Liwas on behalf of the Stanford Cyber Policy Center (CPC) and the Stanford Institute for Human-Centered Artificial Intelligence (HAI). 

Share
Link copied to clipboard!
Event Contact
Madeleine Wright
mwright7@stanford.edu

Related Events

NVIDIA & Marlowe: Scaling Data Science Workloads with RAPIDS
WorkshopJul 15, 20262:00 PM - 3:30 PM
July
15
2026

This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!

Event

NVIDIA & Marlowe: Scaling Data Science Workloads with RAPIDS

Jul 15, 20262:00 PM - 3:30 PM

This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!

Info Session: Rising Stars in Data Science Workshop
WorkshopJul 23, 20261:00 PM - 2:00 PM
July
23
2026

This session is specifically designed for full-time graduate students within one year of obtaining their PhD, as well as current postdoctoral scholars, fellows, and researchers.

Event

Info Session: Rising Stars in Data Science Workshop

Jul 23, 20261:00 PM - 2:00 PM

This session is specifically designed for full-time graduate students within one year of obtaining their PhD, as well as current postdoctoral scholars, fellows, and researchers.

Empirical Methods in the Age of AI Conference
ConferenceOct 02, 2026
October
02
2026

Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.

Event

Empirical Methods in the Age of AI Conference

Oct 02, 2026

Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.

Known to the world as the creator of ImageNet, a key catalyst of modern AI, Fei-Fei Li has spent more than two decades at the forefront of the field. But her career in science was improbable from the start. The Worlds I See is a story of science in the first person, documenting one of the century’s defining moments from the inside. It provides a riveting story of a scientist at work and a thrillingly clear explanation of what AI actually is—and how it came to be. 

The evening began with a presentation from Dr. Li with highlights from, The Worlds I See. Dr. Li and President (emeritus) John Hennessy engaged in a fireside discussion followed by an audience and question and answer session.  

Agenda

  • 5:00pm: Check-In

  • 5:30-5:45: Overview of The Worlds I See

  • 5:45-6:15: Fireside Chat with Dr. Fei-Fei Li and Dr. John Hennessy

  • 6:15-6:30: Audience Q&A

  • 6:30-7:30: Reception

Speakers
John Hennessy
James F. and Mary Lynn Gibbons Professor of Computer Science and Electrical Engineering, Stanford School of Engineering, and the Shriram Family Director of Stanford’s Knight-Hennessy Scholars, Stanford University
fei fei li headshot
Fei-Fei Li
Founding Director, Stanford HAI | Sequoia Professor of Computer Science, Stanford University
Nathaniel Persily
James B. McClatchy Professor of Law at Stanford Law School; Senior Fellow, Freeman Spogli Institute; Professor, by courtesy, Political Science

Watch Event Recording