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peopleLeadership,Faculty,Senior Fellow

James Landay

Denning Director, Stanford HAI | Anand Rajaraman and Venky Harinarayan Professor of Computer Science, Stanford University

Topics
Design, Human-Computer Interaction
External Bio

James Landay is a Professor of Computer Science and the Anand Rajaraman and Venky Harinarayan Professor in the School of Engineering at Stanford University. He specializes in human-computer interaction. Landay is the co-founder and Denning Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). Prior to joining Stanford, Landay was a Professor of Information Science at Cornell Tech in New York City for one year and a Professor of Computer Science & Engineering at the University of Washington for 10 years. From 2003-2006, he also served as the Director of Intel Labs Seattle, a leading research lab that explored various aspects of ubiquitous computing. Landay was also the chief scientist and co-founder of NetRaker, which was acquired by KeyNote Systems in 2004. Before that he was an Associate Professor of Computer Science at UC Berkeley. Landay received his BS in EECS from UC Berkeley in 1990, and MS and PhD in Computer Science from Carnegie Mellon University in 1993 and 1996, respectively. His PhD dissertation was the first to demonstrate the use of sketching in user interface design tools. He is a member of the ACM SIGCHI Academy and an ACM Fellow. He is an ACM SIGCHI Lifetime Research Award winner. He served for six years on the NSF CISE Advisory Committee.

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Doctors Couldn’t Help Them. They Rolled the Dice With A.I.
New York Times
Apr 02, 2026
media mention

HAI Director James Landay addresses using chatbots for medical advice.

Doctors Couldn’t Help Them. They Rolled the Dice With A.I.

New York Times
Apr 02, 2026

HAI Director James Landay addresses using chatbots for medical advice.

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Generative AI
media mention
AI Sovereignty’s Definitional Dilemma
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Feb 17, 2026
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Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.

AI Sovereignty’s Definitional Dilemma

Juan N. Pava, Caroline Meinhardt, Elena Cryst, James Landay
Feb 17, 2026

Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.

Government, Public Administration
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International Affairs, International Security, International Development
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AI For Good: What Does It Mean Today?
Forbes
Jan 23, 2026
media mention

HAI Co-Director James Landay urges people to think about what "AI for good" means today. He argues, "we need to move beyond just thinking about the user. We’ve got to think about broader communities who are impacted by AI systems if we actually want them to be good.”

AI For Good: What Does It Mean Today?

Forbes
Jan 23, 2026

HAI Co-Director James Landay urges people to think about what "AI for good" means today. He argues, "we need to move beyond just thinking about the user. We’ve got to think about broader communities who are impacted by AI systems if we actually want them to be good.”

Ethics, Equity, Inclusion
media mention
How AI Shook The World In 2025 And What Comes Next
CNN Business
Dec 30, 2025
media mention

HAI Co-Director James Landay and HAI Senior Fellow Erik Brynjolfsson discuss the impacts of AI in 2025 and the future of AI in 2026.

How AI Shook The World In 2025 And What Comes Next

CNN Business
Dec 30, 2025

HAI Co-Director James Landay and HAI Senior Fellow Erik Brynjolfsson discuss the impacts of AI in 2025 and the future of AI in 2026.

Industry, Innovation
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media mention
Response to OSTP's Request for Information on Accelerating the American Scientific Enterprise
Rishi Bommasani, John Etchemendy, Surya Ganguli, Daniel E. Ho, Guido Imbens, James Landay, Fei-Fei Li, Russell Wald
Quick ReadDec 26, 2025
response to request

Stanford scholars respond to a federal RFI on scientific discovery, calling for the government to support a new “team science” academic research model for AI-enabled discovery.

Response to OSTP's Request for Information on Accelerating the American Scientific Enterprise

Rishi Bommasani, John Etchemendy, Surya Ganguli, Daniel E. Ho, Guido Imbens, James Landay, Fei-Fei Li, Russell Wald
Quick ReadDec 26, 2025

Stanford scholars respond to a federal RFI on scientific discovery, calling for the government to support a new “team science” academic research model for AI-enabled discovery.

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Universities Must Reclaim AI Research for the Public Good
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Oct 30, 2025
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With corporate AI labs turning inward, academia must carry forward the mantle of open science.

Universities Must Reclaim AI Research for the Public Good

John Etchemendy, James Landay, Fei-Fei Li, Christopher Manning
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With corporate AI labs turning inward, academia must carry forward the mantle of open science.

abstract collage of scientists and university imagery
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New AI Browsers Could Usher In A Web Where Agents Do Our Bidding—Eventually
Fast Company
Oct 23, 2025
media mention

HAI Co-Director James Landay speaks about how AI labs need to invest more in product design.

New AI Browsers Could Usher In A Web Where Agents Do Our Bidding—Eventually

Fast Company
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HAI Co-Director James Landay speaks about how AI labs need to invest more in product design.

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Why AI Is Likely To Change Jobs Rather Than Kill Them
San Francisco Examiner
Jul 14, 2025
media mention

Stanford HAI Co-Director James Landay speaks about AI's impacts on the workforce.

Why AI Is Likely To Change Jobs Rather Than Kill Them

San Francisco Examiner
Jul 14, 2025

Stanford HAI Co-Director James Landay speaks about AI's impacts on the workforce.

Workforce, Labor
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Wiener’s Bill To Avert Catastrophic AI Harms Draws Plenty Of Fire
San Francisco Examiner
Jul 30, 2024
media mention

HAI Co-Director James Landay comments on Senate Bill 1047, which concerns safely testing AI models before rolling out to the public.

Wiener’s Bill To Avert Catastrophic AI Harms Draws Plenty Of Fire

San Francisco Examiner
Jul 30, 2024

HAI Co-Director James Landay comments on Senate Bill 1047, which concerns safely testing AI models before rolling out to the public.

Regulation, Policy, Governance
media mention
HAI at Five: Celebrating 5 Years of Impact
conferenceJun 05, 20249:00 AM - 6:00 PM
June
05
2024

At the Stanford Institute for Human-Centered Artificial Intelligence, our vision for the future is led by our commitment to promoting human-centered uses of AI, and ensuring that humanity benefits from the technology and that the benefits are broadly shared. Over the past 5 years, we have seen a growing community of faculty, researchers, students, and more who have been instrumental in carrying out this commitment. 

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HAI at Five: Celebrating 5 Years of Impact

Jun 05, 20249:00 AM - 6:00 PM

At the Stanford Institute for Human-Centered Artificial Intelligence, our vision for the future is led by our commitment to promoting human-centered uses of AI, and ensuring that humanity benefits from the technology and that the benefits are broadly shared. Over the past 5 years, we have seen a growing community of faculty, researchers, students, and more who have been instrumental in carrying out this commitment. 

Regulation, Policy, Governance
James Landay Recognized for ACM SIGCHI Lifetime Research Award
James Landay
Feb 29, 2024
announcement

James Landay Recognized for ACM SIGCHI Lifetime Research Award

James Landay
Feb 29, 2024
announcement
“AI For Good” Isn’t Good Enough: A Call for Human-Centered AI
lectureFeb 13, 20247:30 PM - 9:00 PM
February
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In his talk, "AI For Good” Isn’t Good Enough: A Call for Human-Centered AI", Professor James Landay elaborates on his argument for an authentic Human-Centered AI. 

February
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In his talk, "AI For Good” Isn’t Good Enough: A Call for Human-Centered AI", Professor James Landay elaborates on his argument for an authentic Human-Centered AI. 

Design, Human-Computer Interaction
1
2
issue brief

The Commercial Landscape of AI Sovereignty Offerings

Caroline Meinhardt, Juan N. Pava, Caroline Yee, James Landay
International Affairs, International Security, International DevelopmentIndustry, InnovationDeep DiveJul 15

This brief surveys the commercial AI sovereignty market and argues that policymakers should focus on calibrating interdependence rather than pursuing full self-sufficiency.

Industry Brief

Human-Centered Large Language Models

Dora Zhao, Caleb Ziems, Ahmad Rushdi, James Landay, Diyi Yang
Machine LearningQuick ReadJul 01

Large language models (LLM) have moved from research laboratories into the infrastructure of everyday life. They power everything from developer tools to educational tutors, healthcare assistants to enterprise agents. Yet the frameworks guiding LLM development remain anchored in technical performance metrics that tell us little about whether these systems actually benefit the people who use them.

media mention
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State Policymakers Divided Over How To Address AI Job-Loss Fears

San Francisco Examiner
Workforce, LaborEconomy, MarketsMay 30

HAI Director James Landay discusses historical technological impacts on productivity growth.