Stanford Institute for Human-Centered Artificial Intelligence

What Stanford Institute for Human-Centered Artificial Intelligence does

Stanford Institute for Human-Centered Artificial Intelligence (HAI) is a non-profit research institute within Stanford University founded in 2018-2019 to advance AI research, education, policy, and practice. It is led by co-directors Fei-Fei Li and John Etchemendy, with James Landay as a director, and convenes faculty from computer science, engineering, medicine, and humanities to study AI's societal implications. The institute serves researchers, policymakers, industry partners, and the broader public, and operates with 11-50 dedicated staff on top of affiliated Stanford faculty.

HAI's core outputs include the AI Index Report (annual measurement of AI progress), the AI Economic Indicators Platform, the Global AI Vibrancy Tool, the AI Detection Benchmark, and a portfolio of open-source tools and models: Evo 2 (biological foundation model), pyvene (model interpretability), CooperBench, QuantiPhy, ControlNet/FramePack, PsychAdapter, and MedArena (medical AI evaluation). These span frontier modeling, benchmarking, interpretability, and domain-specific AI applications. The institute is currently restructuring via merger with Stanford's Data Science initiative, expanding its institutional footprint.

HAI's business model is grant-funded and philanthropic rather than commercial. Major disclosed funding includes a $27.6M Hoffman-Yee grant and multiple Patrick J. McGovern Foundation grants ($500K, $750K, $1.5M), supplemented by Stanford's institutional budget and industry partnerships with AWS, NVIDIA, LVMH, Roblox, and the Swiss National AI Institute. HAI does not sell products or licenses in the traditional sense; its "revenue" is research grants, philanthropy, and institutional support.

Name

Stanford Institute for Human-Centered Artificial Intelligence

Legal name

Stanford University

Website

https://hai.stanford.edu

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

11–50 employees

Short description

Stanford HAI is a non-profit academic research institute within Stanford University that conducts interdisciplinary AI research, publishes the annual AI Index Report, and develops open-source models and benchmarks for the global research, policy, and industry communities.

Ownership category

akta.pro rank

Product category

AI Research & Policy Institute

akta.pro primary industry

Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE)

akta.pro secondary industries

Responsible AI Policy, Controls & Workflow Management (HDAAAMAG), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), Documentation & Reporting Automation (Model Cards, Datasheets, Impact Assessments) (HDAAAMAJ)

Keywords

• AI research institute
• Human-centered AI
• AI policy research
• AI benchmark tools
• AI executive education

Headquarters

HQ city

Stanford

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Others

Revenue model

1. Research Grants and Philanthropy: HAI operates primarily through funded research programs including the Hoffman-Yee Research Grants (totaling $27.6 million from philanthropists Reid Hoffman and Michelle Yee), grants from Schmidt Sciences and MacArthur Foundation, and general Stanford University support for academic research activities.
2. Educational Programs: Revenue from executive education programs, professional education courses, and specialized training for policymakers, civil servants, and industry leaders in AI technologies and their business implications.

Go-to-market motion2 records

Distribution channels6 records

Marketing channels7 records

Core offering

Stanford HAI is an academic research institute that produces the annual AI Index Report, develops open-source AI benchmarks and research tools, conducts multidisciplinary AI research, and delivers executive and professional education programs on AI technologies, governance, and policy. Its core outputs include the AI Index Report, Global Vibrancy Tool, AI Economic Indicators Platform, AI Detection Benchmark, and research tools (pyvene, CooperBench, QuantiPhy, Evo 2, ControlNet/FramePack, MedArena, PsychAdapter), alongside the Hoffman-Yee Research Grants and Tech Ethics & Policy Fellowships.

Product overview

Stanford HAI is a university research institute (not a commercial product company) offering a portfolio of research publications, benchmarking tools, and educational programs. The core offerings include the annual AI Index Report (comprehensive global AI trends analysis), the AI Economic Indicators Platform (labor/productivity tracking), the Global AI Vibrancy Tool (country rankings), and the AI Detection Benchmark (content authenticity evaluation). Supporting these are open-source research tools including pyvene (AI model interpretability), CooperBench (multi-agent collaboration), QuantiPhy (physical reasoning), ControlNet/FramePack (visual AI), PsychAdapter (personalized text), and MedArena (medical AI evaluation). HAI also administers grant programs (Hoffman-Yee Research Grants totaling $27.6M) and fellowship programs (Tech Ethics & Policy Summer Fellowships) for AI researchers and students.

Differentiator

Problem solved

Functional benefit

Brands

• Stanford and AWS Marketing Science Lab: A research collaboration focused on advancing AI and machine learning approaches to marketing measurement, improving marketing analytics tools including causal inference and B2B customer journey analysis.
• AI Economic Indicators

Products and services

• AI Index Report The annual AI Index is the most comprehensive analysis of AI's trajectory, tracking technical capabilities, research output, investment, regulation, and societal impact. Published since 2017, it serves as the definitive global reference on AI trends for researchers, policymakers, industry leaders, and media worldwide. The 2026 edition comprises over 400 pages.
• AI Economic Indicators Platform Free platform developed by the Stanford Digital Economy Lab tracking AI's impact on labor markets, productivity, and technology adoption. Includes three dashboards: Canaries Dashboard (powered by anonymized ADP Research payroll data), Takeoff Tracker, and Adoption Monitor.
• Global AI Vibrancy Tool Interactive ranking tool measuring 36 countries across 42 AI-specific indicators including private investment, notable models, and research quality to assess national AI ecosystems. Distributed globally as a free resource alongside the AI Index Report.
• AI Detection Benchmark Benchmark evaluating 15 AI content detection tools against datasets of over 50,000 human and AI-generated samples, measuring accuracy and false positive rates across detection methods. Released as an open benchmark for AI content authenticity research.
• Evo 2 Open-source generative AI tool for biology that predicts protein form and function in DNA across all domains of life. Trained on dataset including all known living species. Enables rapid genetic sequence generation and experimentation for biological research.
• MedArena Benchmark leveraging physician evaluation of 11 large language models in real-world medical settings for comparing LLM performance in clinical applications. Used by researchers and healthcare organizations to evaluate medical AI capabilities.
• CooperBench Benchmark of over 650 real-world software engineering tasks evaluating AI coding agent collaboration capabilities across Python, TypeScript, Go, and Rust. Reveals critical coordination gaps in multi-agent systems. Used by AI researchers to assess agent collaboration capabilities.
• pyvene Open-source Python library supporting customizable interventions on PyTorch models for model editing, steering, robustness, and interpretability research. Includes causal abstraction and knowledge localization capabilities. Used by AI researchers studying model behavior.
• ControlNet and FramePack Open-source AI tools for visual content creation: ControlNet enables spatial composition control in text-to-image models; FramePack supports 3D video generation from text prompts. Developed in collaboration with gaming platform Roblox. Used by artists and researchers for generative visual content.
• Hoffman-Yee Research Grants Grant program totaling $27.6 million from philanthropists Reid Hoffman and Michelle Yee supporting bold interdisciplinary AI research. Areas include generative AI visual content, virtual cell modeling, AI-assisted policing, brain foundation models, and genomic AI. Selected 2024 cohort received additional funding of up to $2 million per team over two years.
• Tech Ethics & Policy Summer Fellowships Ten-week fellowship placing Stanford graduate students in government and civil society roles in Washington D.C. and California to engage in technology ethics and policy. Includes $10,000 stipend. Co-managed with the McCoy Family Center for Ethics in Society.
• Stanford and AWS Marketing Science Lab Research collaboration with AWS focused on advancing AI and machine learning approaches to marketing measurement. Aims to improve marketing analytics tools including causal inference and B2B customer journey analysis, with practical implementation through open-source code and prototypes.
• Executive and Professional Education Programs Fee-based educational programs for industry executives, government officials, civil servants, and policymakers. Focus on AI technologies across industries and their business implications. Includes specialized training for policymakers, civil society cohorts, and K-12 educators.

Quantifiable outcome

• AI Index Report has tracked AI evolution since 2017 and is recognized as the field's most comprehensive annual snapshot
• +4 more outcomes

Segments5 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability16 records

Feature7 records

Partnerships

Eleven partnerships are on record, tiered core, minor and flagship.

• LVMHcoreStrategic or Co-development Partner · 18 June 2026LVMH built its AI Factory infrastructure in partnership with Stanford HAI. The luxury conglomerate showcased this collaboration at VivaTech, demonstrating AI adoption across brands including Louis Vuitton and Céline, while referencing HAI's research and methodologies for responsible AI development.
• RobloxminorStrategic or Co-development Partner · 10 March 2026Stanford HAI researchers funded by a Hoffman-Yee Research Grant are working with gaming platform Roblox to enable players to generate 3D objects from text prompts, applying AI tools for visual content creation developed at Stanford.
• 0G LabsminorStrategic or Co-development Partner · 27 February 20260G, a decentralized AI infrastructure protocol, launched the Apollo AI Accelerator with Stanford blockchain veterans and partners including Blockchain Builders Fund, Google Cloud, and Privy. The program aims to fund early-stage AI projects on decentralized infrastructure.
• Amazon Web Services (AWS)coreStrategic or Co-development Partner · 20 February 2026Stanford HAI and AWS launched the Stanford and AWS Marketing Science Lab, a research collaboration focused on advancing AI and machine learning approaches to marketing measurement. The lab aims to improve marketing analytics tools, including causal inference and B2B customer journey analysis, with practical implementation through open-source code and prototypes.
• Project Liberty InstitutecoreStrategic or Co-development Partner · 16 February 2026Project Liberty Institute co-organized a main-stage panel on AI governance with Stanford HAI and Global Solutions Initiative at the India AI Impact Summit in New Delhi. The partnership focuses on aligning AI innovation with public interest and launching a global workshop series on open social protocols and user sovereignty.
• Swiss National AI Institute (ETH Zurich and EPFL)flagshipStrategic or Co-development Partner · 22 January 2026HAI signed a memorandum of understanding with the Swiss National AI Institute at the World Economic Forum in Davos, establishing a framework for long-term collaboration in AI research and education. The partnership aims to develop open-source, open-data multimodal foundation models and create benchmarks and evaluation frameworks for responsible AI deployment. Researchers benefit from joint workshops, researcher exchanges, and shared compute initiatives.
• Arc InstitutecoreStrategic or Co-development PartnerStanford collaborated with the Arc Institute (itself a collaboration among Stanford, UC Berkeley, and UC San Francisco) and NVIDIA to develop Evo 2, the generative AI tool for biology. The Arc Institute provides the biomedical research infrastructure and multidisciplinary expertise for the project.
• NVIDIAcoreTechnology or IntegrationNVIDIA provides the AI computer chips and software infrastructure to run Evo 2, Stanford's generative AI tool for biology. NVIDIA's hardware enables training and deployment of the large-scale genomic model.
• ADP Research InstituteminorStrategic or Co-development PartnerStanford Digital Economy Lab (part of Stanford HAI) developed the Canaries Dashboard using anonymized payroll data provided by ADP Research to track AI's impact on labor markets.
• McCoy Family Center for Ethics in SocietycoreStrategic or Co-development PartnerHAI and the McCoy Family Center for Ethics in Society jointly offer the Tech Ethics & Policy Summer Fellowship, a 10-week program placing Stanford students in government and civil society roles. HAI manages the graduate track while the ethics center handles undergraduate placements.
• World Economic ForumcoreStrategic or Co-development PartnerHAI signed its partnership with the Swiss National AI Institute at the World Economic Forum in Davos, leveraging the forum's convening power to bring together global AI leaders for the collaboration announcement.

Scale indicators15 records

Recent moves6 records

Expansion highlights5 records

Broad incumbents

• DeepMind (Google): Leading commercial AI research lab producing frontier capabilities (AlphaFold, Gemini) and significant AI safety/ethics research, broadly comparable in technical AI research and AI safety publications but operating at far greater scale with commercial mandate.
• OpenAI: Leading AI research and deployment company, broadly comparable in producing influential AI research publications and policy engagement, but operating commercially with much larger scale and faster research-to-deployment cycle.

Direct peers

• MIT Computer Science and Artificial Intelligence Laboratory (CSAIL): MIT's flagship AI research laboratory, directly comparable as a top-tier university-affiliated AI research institute conducting interdisciplinary work spanning computer science, AI safety, robotics, and policy engagement.
• Future of Life Institute: Non-profit focused on AI governance and existential risk, directly comparable in mission and audience: producing policy research, convening global stakeholders, and shaping AI safety/ethics discourse.
• Center for AI Safety (CAIS): Research-oriented organization focused on AI safety and existential risk, comparable in producing safety research, AI benchmarks, and policy engagement with similar academic-adjacent positioning.
• Allen Institute for AI (AI2): Non-profit AI research institute founded by Paul Allen, directly comparable as a mission-driven AI research organization producing open-source models (OLMo), benchmarks, and policy research with similar funding model.
• Carnegie Mellon University AI Initiatives: CMU's AI research ecosystem including the Machine Learning Department and Software Engineering Institute, directly comparable as a top-tier university producing AI safety, ethics, and policy research alongside technical advances.
• UC Berkeley Artificial Intelligence Research Lab (BAIR): Berkeley's AI research hub, comparable as a leading university AI research lab producing foundation model research (with partnerships via Arc Institute on Evo 2), policy engagement, and open-source contributions.

Emerging players

• AI Now Institute: NYU-based research institute examining AI's social implications, partially comparable in producing policy research on AI accountability, labor impacts, and rights, though with stronger civil-society framing than HAI's industry engagement.
• Partnership on AI: Multi-stakeholder non-profit convening industry, academia, and civil society on AI best practices, partially comparable in AI governance research and policy focus though with more industry-aligned framing.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/StanfordHAI
• YouTubeyoutube.com/channel/UCQ-5-NZQhggLF-0OMxKJvXg
• Facebookfacebook.com/StanfordHAI
• LinkedInlinkedin.com/company/stanfordhai

Revenue estimate

Valuation estimate

Number of profiles

Profiles16 records

Funding overview

Funding rounds3 records

Investors1 record

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M&A

Investments

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Frequently asked questions about Stanford Institute for Human-Centered Artificial Intelligence