Stanford Institute for Human-Centered Artificial Intelligence (HAI)

In the future, distributed teams of people who’ve never met each other will come together within minutes to solve problems and build things. If you’re trying to assemble agile teams from around the world, read Flash Teams first. This bestselling book by Stanford professors and HAI Senior Fellows Melissa Valentine and Michael Bernstein presents a compelling vision for how teamwork will evolve in the age of AI. In this Q&A, the authors briefly explain: - What defines a flash team - Why flash teams are increasingly popular - How does one build or join a flash team Read now: https://lnkd.in/gaWKpnzK

During her London visit, HAI Co-founding Director Fei-Fei Li engaged in policy discussions with Secretary of State for Business & Trade Peter Kyle and Secretary of State for Science, Innovation & Technology Liz Kendall to discuss deepening transatlantic collaboration on AI innovation and governance.

We are immensely proud to celebrate the recognition of Stanford HAI Co-founding Director Fei-Fei Li, who has been awarded the 2025 Queen Elizabeth Prize for Engineering alongside Stanford HAI Distinguished Fellows Geoffrey Hinton and Yoshua Bengio, and fellow laureates Bill Dally, John Hopfield, Jensen Huang, and Yann LeCun. This prestigious honor acknowledges their groundbreaking contributions that shaped the development of modern machine learning, a foundational pillar of today's AI revolution. Congratulations to all seven laureates on this well-deserved honor! 📸: Jason Alden

As schools begin to shape emerging AI policies, some parents are concerned. Stanford HAI Faculty Affiliate Victor Lee offers three tips: - Find out how your student’s teachers plan to use AI this year. - Engage with school leaders. - Talk to your children about AI. “There’s no best practice for deploying AI in educational settings yet. But as schools provide professional learning opportunities, teachers will begin to see how AI can be integrated and aligned with educational standards,” he says. Read this blog to find out how Stanford HAI and the Stanford Accelerator for Learning’s AI+Education program are supporting AI literacy in school settings: https://lnkd.in/g6pzbr3S

Large bodies of textual information, such as legal documents, computer code, personal files, textbooks, and patient medical records consume vast amounts of GPU memory each time an AI analyzes them to formulate a response. A team of Stanford scholars is developing a new approach to this problem by making AI contextually aware. “The recent history of AI has been about building huge monolithic models that are the same for everyone. I think we’re starting to see the limits of that approach,” says Sabri Eyuboglu, a doctoral student in computer science at Stanford and the lead author on the study. Through this work, the authors show how a method called “Cartridges” presents a scalable path forward. Read the HAI blog for highlights of their proposed solution: https://lnkd.in/gtqdzS3t

Congratulations to Stanford HAI Associate Director Surya Ganguli for being selected as a 2025 #AI2050 Senior Fellow by Schmidt Sciences! 🎉 The prestigious fellowship recognizes scholars advancing responsible AI innovation for the benefit of humanity. Read the announcement here: https://lnkd.in/gCVw9b-D

Before we can roll out healthcare AI agents that handle complex, multistep tasks with minimal supervision, we need benchmark testing to measure how well LLMs perform tasks that a doctor would normally do inside a real-world clinical system. A multidisciplinary team of physicians, computer scientists, and researchers from across Stanford University have devised a solution, called MedAgentBench. Find out how this virtual electronic health record environment evaluates AI agent performance in retrieving patient data, ordering tests, and prescribing medications. Read from the Stanford HAI Blog: https://brnw.ch/21wXcTx

📸 It was inspiring to witness the groundbreaking work of Stanford University research teams focused on addressing important scientific and societal challenges at our biennial Hoffman-Yee Symposium! If you missed the talks, the recordings are now available on our YouTube channel: https://bit.ly/47DGe5n

Stanford scholars are examining real-world responses to AI-generated child sexual abuse material or CSAM in schools. Through interviews with educators, law enforcement, platforms, legislators, and victims, they're mapping gaps in current protection systems and identifying solutions before the crisis escalates. Communities have a few ways to mitigate the harm of deepfake nudes, but HAI Policy Fellow Riana Pfefferkorn says the best way to stop it is prevention, not reaction. Here, she recommends safety tips and how parents can get involved: https://lnkd.in/gfrQ2Xr3

Ten years ago, Mark Zuckerberg's surprise appearance at NeurIPS signaled AI's leap from academia to Big Tech. But today the open research ecosystem that propelled AI is closing down. Meta cut its FAIR division, DeepMind embargoes research for competitive advantage, and OpenAI became ClosedAI. The retreat from open science threatens the foundation of scientific progress itself. Now is the time for academia to reassert its historic role. HAI Co-Directors John Etchemendy, James Landay, Fei-Fei Li, and HAI Associate Director Christopher Manning propose a new model of collaboration across universities, non-profits, governments, and industry partners that upholds AI research for the public good: https://lnkd.in/eTQjwt-m