Stanford Institute for Human-Centered Artificial Intelligence

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Stanford Institute for Human-Centered Artificial Intelligence Stanford HAI is committed to studying, guiding and developing human-centered AI technologies and app

76% of FDA-authorized medical AI devices are radiology tools. Yet most lack robust post-deployment monitoring.Our latest...
14/05/2026

76% of FDA-authorized medical AI devices are radiology tools. Yet most lack robust post-deployment monitoring.

Our latest brief introduces a practical framework for real-time performance oversight of clinical AI.

The authors call on policymakers to treat continuous post-deployment performance monitoring as a core regulatory requirement.

Learn more by downloading the paper from our website: https://hai.stanford.edu/policy/operationalizing-real-time-monitoring-of-clinical-ai

13/05/2026

Meet the team behind the new AI and Organizations Lab, newly launched out of Stanford HAI. Lab director Melissa Valentine and core faculty discuss why we need empirical science to understand AI's real impacts on how people work together, and how they'll move beyond hype to generate evidence-based insights for organizations.

What if we could decode the "grammar" of how successful teams coordinate their work?That's the winning idea from Stanfor...
13/05/2026

What if we could decode the "grammar" of how successful teams coordinate their work?

That's the winning idea from Stanford HAI and Google DeepMind's AI for Organizations Grand Challenge—a global competition that drew 200+ academic teams exploring how AI will transform workplace collaboration.

Stanford Graduate School of Business's Yankai Wang and Professor Amir Goldberg will use transformer architecture to build a "large coordination model" that identifies patterns in how teams work together and predicts which sequences of actions will be most effective for future scenarios.

Other standout proposals from finalists representing Emory, Cornell, Carnegie Mellon, UC Berkeley, INSEAD, and Northwestern tackled critical questions:

→ How do organizations decide which AI-generated ideas are worth pursuing?
→ How can we measure collective intelligence in teams?
→ How do we surface expertise trapped across organizational silos?
→ How can multimodal LLMs improve team collaboration in real-time?

This challenge is part of Stanford HAI's commitment to ensuring AI transformation in the workplace happens in a human-centered way and kicks off the launch of the new AI and Organizations Lab.

Read more: https://hai.stanford.edu/news/researchers-worldwide-compete-to-shape-the-future-of-ai-in-organizations

AI is transforming every workplace—but we're making critical decisions with surprisingly little empirical evidence about...
13/05/2026

AI is transforming every workplace—but we're making critical decisions with surprisingly little empirical evidence about its real impacts.

Stanford HAI is launching the AI and Organizations Lab to change that.

Led by Melissa Valentine, HAI senior fellow and associate professor of management science and engineering at Stanford, and supported by Google DeepMind and Google.org, the new research center will establish an empirical science of how AI transforms workplace coordination and organizational performance.

"This lab will generate the rigorous, evidence-based research needed to guide organizations toward AI implementations that genuinely augment human potential," Valentine said.

https://hai.stanford.edu/news/stanford-hai-launches-ai-and-organizations-lab-to-study-science-of-ai-in-the-workplace

11/05/2026

MD/PhD candidate Ryan Park (.park) was using machine learning for medical research long before ChatGPT took AI mainstream. While headlines warned of AI replacing physicians, Ryan saw a tool for empowering patients and providers.

The fellowship keeps him at the frontier of the AI revolution as he pursues physician-scientist training .med as a scholar. Ryan especially enjoys collaborating with fellow HAI researchers who share the same long-term vision of building ethical AI for human flourishing.

The intersection of AI and scientific discovery is creating unprecedented opportunities and questions for scientists, en...
05/05/2026

The intersection of AI and scientific discovery is creating unprecedented opportunities and questions for scientists, engineers, and research leaders across academia, industry, and government.

Join us live as we explore both near-term advances and future possibilities, along with the unique challenges of applying AI in scientific work, with a clear focus on the essential role of scientists in this new era.

Stanford University President Jon Levin, HAI Faculty Director James Landay, and conference organizers Surya Ganguli and Risa Wechsler are opening today's program, setting the stage for crucial conversations about how AI is fundamentally reshaping scientific discovery across disciplines – from life sciences to climate modeling to fundamental physics.

Throughout the day, we'll be bringing you insights from leading researchers, policymakers, and thought leaders. Watch the livestream and join the conversation: https://hai.stanford.edu/events/ai-science-accelerating-discovery

Big news! Stanford University is merging the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Sta...
05/05/2026

Big news! Stanford University is merging the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Stanford Data Science (SDS) into a single institute. The combined institute will be helmed by computer scientist James Landay.

Continuing under the Stanford HAI name, the merged institute will organize its work around three pillars: advancing AI and data science for discovery across fields, transforming education from K-12 through lifelong learners, and examining and shaping AI’s societal impact through evidence-based research. “The human-centered focus provides a north star for the institute,” said Stanford president Jon Levin.

The merger combines HAI’s network of more than 400 scholars, extensive industry affiliates program, and $60 million in cumulative grant funding with SDS’s high-performance Marlowe computing cluster and early scholar fellowship program. Levin describes the new Stanford HAI as “the front door for AI at Stanford.”

HAI co-founder Fei-Fei Li takes on a new university-wide role as Special Advisor on AI and joins former Stanford president John Hennessy as co-chair of the HAI advisory council.

More at https://news.stanford.edu/stories/2026/05/stanford-merges-hai-data-science

04/05/2026

PhD candidate builds algorithms that keep critical systems safe when things get unpredictable.

But here’s what makes her approach different: she doesn’t just talk to engineers. Through her fellowship, she regularly connects with researchers across disciplines—conversations that fundamentally shape how she designs AI-human interactions.

Working with her advisor Mykel Kochenderfer at the Stanford Intelligent Systems Laboratory, she’s deeply engaged in innovative collaborations like using LLMs to help ’s science teams understand lunar rover trajectory design during the planning stage.

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