Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Yejin Choi | 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
  • 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
peopleSenior Fellow

Yejin Choi

Dieter Schwarz Foundation HAI Professor | Professor of Computer Science | Senior Fellow, Stanford HAI

yejin choi
External Bio

Yejin Choi is the Dieter Schwarz Foundation Professor and Senior Fellow at Stanford's Computer Science and Institute for Human-Centered AI (HAI). She is a MacArthur Fellow, AI2050 Senior Fellow, and was named to Time100 Most Influential People in AI (2023, 2025). Choi has received 2 Test-of-Time Awards and 10 Best/Outstanding Paper Awards at top AI conferences. She was a main stage speaker at TED 2023 and has delivered keynotes at several AI conferences including NeurIPS, ICLR, CVPR, ACL, and AAAI. Her research focuses on democratizing generative AI through smaller yet powerful language models, scaling intelligence via smarter algorithms, pluralistic alignment, and AI for science and social good. She received her Ph.D. in Computer Science at Cornell University and BS in Computer Engineering at Seoul National University in Korea.

Share
Link copied to clipboard!

Latest Related to Yejin Choi

testimony

Yejin Choi’s Briefing to the United Nations Security Council

Yejin Choi
International Affairs, International Security, International DevelopmentQuick ReadSep 24

In this address, presented to the United Nations Security Council meeting on "Maintenance of International Peace and Security," Yejin Choi calls on the global scientific and policy communities to expand the AI frontier for all by pursuing intelligence that is not only powerful, but also accessible, robust, and efficient. She stresses the need to rethink our dependence on massive-scale data and computing resources from the outset, and design methods that do more with less — by building AI that is smaller and serves all communities.

policy brief

Toward Political Neutrality in AI

Jillian Fisher, Ruth E. Appel, Yulia Tsvetkov, Margaret E. Roberts, Jennifer Pan, Dawn Song, Yejin Choi
DemocracyGenerative AIQuick ReadSep 10

This brief introduces a framework of eight techniques for approximating political neutrality in AI models.

media mention
Your browser does not support the video tag.

TIME100 AI 2025: Yejin Choi

TIME
Energy, EnvironmentAug 26

Stanford HAI Senior Fellow Yejin Choi is named as one of TIME100's 2025 most influential thinkers in AI.

All Related

How Disruptive Is DeepSeek? Stanford HAI Faculty Discuss China’s New Model
Vanessa Parli
Feb 13, 2025
news

How Disruptive Is DeepSeek? Stanford HAI Faculty Discuss China’s New Model

Vanessa Parli
Feb 13, 2025

Machine Learning
news
Yejin Choi: Teaching AI How the World Works
Nick Adams Pandolfo
Jan 16, 2025
news
yejin choi

Stanford HAI’s new Senior Fellow will study common sense AI and moving from large language models to small language models.

Yejin Choi: Teaching AI How the World Works

Nick Adams Pandolfo
Jan 16, 2025

Stanford HAI’s new Senior Fellow will study common sense AI and moving from large language models to small language models.

Machine Learning
yejin choi
news