Stanford scholars are working across disciplines to understand the rapidly changing implications of AI for society – and leveraging the technology to drive transformative breakthroughs in the lab.
Faculty affiliated with the Stanford Institute for Human-Centered Artificial Intelligence
Stanford HAI grants for AI research since 2019
GPUs in “Marlowe,” a $30 million supercomputer introduced on campus to facilitate AI-based research across fields
Computer science Professor John McCarthy, a “founding father” of AI, established the Stanford Artificial Intelligence Laboratory on campus in 1963. It was one of the first in the world to pursue the development of AI systems.
Stanford supports its AI researchers with university-scale computing power, seed and moonshot grants, fellowship programs for early-career scholars, and a growing network of cross-disciplinary centers and labs devoted to the field.
Computer scientist Karen Liu is advancing embodied intelligence, a form of AI that lets robots and animated characters gather information and take actions to change the state of their world.
Stanford radiologist and data scientist Curtis Langlotz develops AI-powered systems that help medical experts and patients improve care across a variety of diseases and ailments.
Bioengineer Emma Lundberg is leveraging AI to map the human proteome in space and time, while reframing the way scientists think about genetic disease.
Established in 2019, Stanford HAI is an interdisciplinary institute that advances AI research, education, policy, and practice in the service of humanity. Through scholarship, fellowships, convenings, and direct engagement with policymakers and civil society leaders, HAI helps shape how AI is developed and governed – from California to Washington, D.C., to the international stage.
Policymakers, business leaders, and the public turn to Stanford HAI’s AI Index for rigorous, objective insights into the technology’s progress, economic influence, and societal impact.
Computer scientists Ludwig Schmidt and Diyi Yang study the foundations of AI, ensuring these tools are designed with people in mind.
Stanford research finds that users with limited social networks who seek emotional support from AI chatbots experience lower well-being.
“Human-centered AI is about bringing interdisciplinary and multi-stakeholder perspectives to the table – engineers, social scientists, ethicists, communities – so we can build systems that are trustworthy and supportive of human flourishing.”
Fei-Fei Li
Founding director of Stanford HAI and special advisor on AI to President Jonathan Levin | Image courtesy of QEPrize/Jason Alden
AI can be a vital accelerant in advancing solutions to some of humanity’s greatest challenges – guided by human curiosity, human needs, and human well-being.
AI is accelerating drug discovery, improving detection and diagnosis of disease, enhancing the patient and provider experience, and democratizing access to leading expertise. Breakthroughs in Stanford labs have led to dozens of startup companies.
Researchers are using AI to build better climate models, track forest carbon, look into the geological past, and improve mineral exploration for the renewable energy transition.
Researchers are exploring AI’s potential to make learning more personalized, engaging, and equitable; creating new teaching tools; and working with governments and organizations to integrate the technology into education systems responsibly and effectively.
Researchers are exploring a role for AI in professional education, studying workplace transformation, and rooting out illegal discrimination in real estate covenants.