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

Grants

We strive to foster a culture of interdisciplinary AI research in which technological advancements are inextricably linked to research about their potential societal impacts.

All Grants

Closed
Azure Cloud Credit Grants

Emerging research that requires advanced computational resources provided by the commercial cloud 

Azure Cloud Credit Grants

Closed

Emerging research that requires advanced computational resources provided by the commercial cloud 

Closed
Google Cloud Credit Grants
Call for proposals will open in Summer 2025

Aimed at supporting novel or emerging research that requires advanced computational resources provided by Google Cloud

Google Cloud Credit Grants

Closed
Call for proposals will open in Summer 2025

Aimed at supporting novel or emerging research that requires advanced computational resources provided by Google Cloud

Closed
HAI and Wu Tsai Neuro Partnership Grant

Stanford HAI and the Wu Tsai Neurosciences Institute jointly seek proposals that transform our understanding of the human brain using AI and advance the development of intelligent technology.

HAI and Wu Tsai Neuro Partnership Grant

Closed

Stanford HAI and the Wu Tsai Neurosciences Institute jointly seek proposals that transform our understanding of the human brain using AI and advance the development of intelligent technology.

Closed
HAI and Accelerator for Learning Partnership Grant

Created to explore how generative AI can be applied in novel ways to support learning

HAI and Accelerator for Learning Partnership Grant

Closed

Created to explore how generative AI can be applied in novel ways to support learning

Closed
Seed Research Grants
Call for proposals will open in Summer 2025

Designed to support new, ambitious, and speculative ideas with the objective of getting initial results

Seed Research Grants

Closed
Call for proposals will open in Summer 2025

Designed to support new, ambitious, and speculative ideas with the objective of getting initial results

Closed for the year
RAISE Health Seed Grants

Advances in artificial intelligence technology offer unprecedented opportunities to improve health and medicine, from accelerating biomedical research to strengthening care delivery and patient outcomes.

RAISE Health Seed Grants

Closed for the year

Advances in artificial intelligence technology offer unprecedented opportunities to improve health and medicine, from accelerating biomedical research to strengthening care delivery and patient outcomes.

Closed
HAI and AIMI Partnership Grant

The HAI and AIMI Partnership Grant is designed to fund new and ambitious ideas that reimagine artificial intelligence in healthcare, using real clinical data sets, with near term clinical applications.

HAI and AIMI Partnership Grant

Closed

The HAI and AIMI Partnership Grant is designed to fund new and ambitious ideas that reimagine artificial intelligence in healthcare, using real clinical data sets, with near term clinical applications.

Closed
Hoffman-Yee Research Grants
Call for proposals will open in Winter 2025

The Hoffman-Yee Research Grants are designed to address significant scientific, technical, or societal challenges requiring an interdisciplinary team and a bold approach.

These grants are made possible by a gift from philanthropists Reid Hoffman and Michelle Yee.

Hoffman-Yee Research Grants

Closed
Call for proposals will open in Winter 2025

The Hoffman-Yee Research Grants are designed to address significant scientific, technical, or societal challenges requiring an interdisciplinary team and a bold approach.

These grants are made possible by a gift from philanthropists Reid Hoffman and Michelle Yee.

HAI’s research network continues to grow

Since its founding, HAI’s grant programs have supported over 375 faculty members from all seven Stanford schools spanning multiple departments, in keeping with the commitment to support interdisciplinary AI research.

375

faculty funded

50MM+

in grant funding distributed

500

research projects

Research Focus Areas

AI is a general purpose technology that can be used for good and for ill. Our vision for the future is led by the commitment to promote human-centered uses of AI, and ensure that humanity benefits from the technology and that the benefits are broadly shared. In support of these goals, our research falls into three key focus areas: Human Impact, Augment Human Capabilities, and Intelligence.

Current AI systems lack flexibility and contextual understanding, and resist explanation in terms comprehensible by humans. Ultimately we need to develop machine intelligence that understands human language, emotions, intentions, behaviors, and interactions at multiple scales. 

Today’s AI methods can perform simple, well-defined, narrow tasks well, but only after training on laboriously annotated data. While recent algorithms have enabled us to solve formerly intractable real-world problems, it remains to be seen how far they can go, and whether they can ultimately serve as the basis for a general theory of intelligence and the development of truly intelligent machines.

To create a machine-assisted — yet human-centered — world, we must develop the next generation of AI techniques that overcomes the limitations of current algorithms, expands the class of problems that can be addressed, and complements human cognitive and analytic styles. Ultimately we need machine intelligence that leads to good decisions, either acting alone or working in combination with human decision-makers. It should understand human language, emotions, intentions, behaviors, and interactions at multiple scales. 

Tackling these challenges on both the theoretical and practical levels requires substantial fundamental research. Developing a next generation of human-centered machine intelligence will demand combining further research in core machine learning and artificial intelligence with approaches coming from our growing understanding of human intelligence developed in areas including neuroscience and cognitive science.

HAI seeks to develop new human-centered design methods and tools so that AI agents and applications are designed and created with the ability to communicate with, collaborate with, and augment people more effectively, and to make their work better and more enjoyable. These breakthroughs will allow great progress in healthcare, education, sustainability, automation, and countless other domains. 

AI has the potential to replace people in their jobs. But AI also has the potential to educate, train, and augment people, making them better at their tasks and activities. AI can make the quality of an individual’s work better, resulting in better writing, design, healthcare, communication, teaching, and art. 

People are social animals; machines are not. To achieve broad acceptance, AI systems must conform to the often-implicit cultural conventions that underlie human interaction and communication. When should such systems “listen” and when should they “speak up”? If they require a shared resource, how can they balance their own needs with those of others? If humans are asked to rely on machine guidance to augment their decisions (and perhaps override their intuition), they may need to understand the strengths and weaknesses of the AI. 

The advances and considerations developed in our other areas of focus, in addition to research in design methods, will help us to create systems that have these more appropriate communication capabilities. This underlying research will be combined with the use of AI in important application domains, such as education, healthcare, and sustainability, where the new design methods and tools can be leveraged and evaluated.

To develop equitable and trustworthy technology, we must understand how AI interacts with humans as well as with vital social structures and institutions.

HAI’s multidisciplinary research on AI’s human impact aims to realize this vision. AI scientists, working alongside scholars across Stanford and other academic institutions, can take us far beyond superficial generalizations about “human vs. machine.”  Through deeper understanding, we can better address the myriad issues society will confront as AI systems become commonplace.

Scholars are currently studying the extent to which algorithms introduce, compound, or mitigate biases and risk; “responsibility gaps” between decisions made by machines and people; the use and misuse of AI for surveillance, population control, and waging war; and the impact of AI on social institutions, judicial systems, government, industry structure, labor markets, economic growth, and trade across nations. This research will inform engagement with industry, government, and civil society to help guide AI’s development.

Active and Upcoming Grants

Grants are open to Stanford research teams. All proposals must have a Stanford faculty who qualifies as a Principal Investigator per Stanford policy. Before funding is released, all proposals undergo an Ethics and Society Review to assess for any potential negative impact on society.

Closed

Google Cloud Credit Grants

Call for proposals will open in Summer 2025

Aimed at supporting novel or emerging research that requires advanced computational resources provided by Google Cloud

Closed

Seed Research Grants

Call for proposals will open in Summer 2025

Designed to support new, ambitious, and speculative ideas with the objective of getting initial results

Closed

Hoffman-Yee Research Grants

Call for proposals will open in Winter 2025

The Hoffman-Yee Research Grants are designed to address significant scientific, technical, or societal challenges requiring an interdisciplinary team and a bold approach.

These grants are made possible by a gift from philanthropists Reid Hoffman and Michelle Yee.