Stanford Merges AI and Data Science Programs Into Single Institute
Stanford University has combined its two flagship AI organizations into one body under the Stanford HAI name, effective immediately. The merger brings together more than 400 scholars, $60 million in grant funding, and high-performance computing infrastructure.
Computer scientist James Landay will lead the institute as Denning Director. Fei-Fei Li, who co-founded Stanford's human-centered AI program, moves into a new university-wide role as Special Advisor on AI to Stanford President Jonathan Levin and will co-chair the institute's advisory council with former Stanford president John Hennessy.
What Changed
The Stanford Institute for Human-Centered AI and the Stanford Data Science initiative now operate as one organization. The merger combines HAI's industry affiliates program with Stanford Data Science's Marlowe computing cluster and early scholar fellowship program.
The institute will organize around three areas: advancing AI and data science for discovery across fields, transforming education from K-12 through lifelong learning, and examining AI's societal impact through research.
Open Science as Strategy
Landay says the institute's defining commitment will be openness: open science, open-source code, open datasets, and open education. "What makes Stanford's approach impactful is our commitment to operating as an open community," he said. "We publish in open forums, we champion open research, we make knowledge accessible. That's what differentiates universities from the frontier AI companies dominating artificial intelligence today."
The emphasis matters in a sector where proprietary models from OpenAI, Google, and Anthropic increasingly drive development. Stanford HAI's annual AI Index report serves as a widely cited benchmark, and the institute's ImageNet database helped catalyze modern deep learning.
Education Programs Expanding
Stanford HAI already runs the Congressional Boot Camp on AI for policymakers and offers executive and policy education programs. Researchers at the institute are testing adaptive tutoring systems designed to respond to individual learners and support teachers in classrooms.
The merged organization now has access to Stanford Data Science's computing infrastructure to scale those efforts. For educators, this means expanded resources for AI for Education work - from classroom tools to teacher support systems.
Emmanuel Candes, who launched Stanford Data Science, will become an associate director focused on computational resources. John Etchemendy, a co-founder of HAI, continues as senior fellow and advisor. The merged institute will work across all seven Stanford schools, spanning engineering, medicine, humanities, and beyond.
Researchers interested in how AI advances discovery across fields can explore AI Research Courses to understand the tools and methods shaping academic work.
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