Stanford Institute for Human-Centered Artificial Intelligence

06/19/2026

AI is a tool of empowerment, and it’s arming everyone with new skills and knowledge in unexpected and unprecedented ways. Stanford Health AI Week explored this trend in a week-long series of events, including the RAISE Health Symposium and AI4MH Symposium.

Speakers discussed the need for patient collaboration in developing AI tools, how trust in AI can be built with both doctor and patient communities, and how AI is accelerating discoveries that impact disease diagnosis and treatment.

Read the top 10 takeaways here: https://med.stanford.edu/news/all-news/2026/06/stanford-health-ai-week.html

06/16/2026

Reproducibility is essential to reliable science, yet even high-quality scientific findings can be hard to replicate. Two centers build on a long Stanford University tradition of working to improve reproducibility through documentation, orderly data, and making the details of science accessible and transparent.

This work “helps us get to the truth faster, making our research efforts more productive,” said Steven N. Goodman, who directs the Stanford Program on Research Rigor & Reproducibility (SPORR) at the Stanford Medicine.

A significant challenge is that the processes required to make research clear and sharable take time and require extra work, although AI may help.

“People are incentivized to have lots of papers in fancy journals,” said Russell Poldrack, faculty director of the Center for Open and REproducible Science (CORES). “When you do things more rigorously, it’s harder to have splashy findings without blemishes. There’s rarely a real payoff for it, at least in the short term.”

Learn how CORES and SPORR are providing new incentives:

CORES and SPORR together extend a long Stanford lineage of reliable science.

06/12/2026

Stanford HAI Senior Fellow Surya Ganguli is helping build a new science of intelligence — one that studies how neurons fire, how AI learns, and what each can teach us about the other.

Along the way, he may have uncovered a neural mechanism with implications for treating schizophrenia.

Surya Ganguli is helping pioneer a new science of intelligence—one that studies how brains perceive, how AI learns, and what each can reveal about the other.

06/12/2026

Large language models trained on millions of authors produce a flattened, agreeable voice. Now researchers have found a way to restore individual personality to AI output, enabling applications from therapy training to personalized education.

"This is the next step in a tradition that runs from the earliest psychologists to the age of big data. For the last half century, psychology has built the tools to analyze language to understand personality — now we can generate language for personality as well," said Johannes Eichstaedt, co-senior author and a faculty fellow at Stanford HAI.

Read more from our latest blog:

PsychAdapter lets researchers dial in on personality traits, age, and mental health characteristics to generate text that sounds like real individuals, opening the door to training simulations and personalized content.

06/11/2026

Last week, Stanford HAI collaborated with Stanford’s AI for Mental Health (AI4MH) Initiative to host the 2026 AI4MH Symposium — a symposium focused on shaping the responsible adoption of AI in mental health.

Speaking on a panel focused on exploring the policy and ethics challenges of mental health AI, California Assembly Member Mia Bonta stressed the need to protect youth as they turn to chatbots and other AI tools for mental health challenges. She spoke about how the policy conversation needs to keep up with the rapid pace of innovation and the speed with which young people are expanding their use of these tools.

Watch the full policy and ethics session here:

This session distills key ethical challenges raised by the use of m...

06/10/2026

In San Francisco Examiner, Stanford HAI Denning Director James Landay provides historical perspective to explain why current AI impact data may be misleading and why people — particularly new college graduates — have concerns about AI job losses.

Governor, lawmakers pushing different tacks

06/10/2026

1 in 10 Americans now get news from AI chatbots. When Stanford University researchers tested them with 2,100 real news questions, they found that the chatbots can get facts wrong in invisible ways.

Here's what they discovered: https://hai.stanford.edu/news/reading-todays-headlines-through-ai-a-real-time-audit-of-six-commercial-chatbots

06/08/2026

Are you part of an organization seeking to integrate AI?

This fall, Stanford HAI and the d.school are offering an educational program to help you develop AI solutions that are not just technologically advanced, but deeply human.

Move from AI experimentation to strategic implementation by learning how to scope, prototype, and deploy AI that serves your communities.

Learn more and apply: https://hai.stanford.edu/education/civil-society-and-non-profit-ai-training

06/05/2026

Stanford HAI Senior Fellow Yejin Choi has spent her career asking the questions AI's biggest players would rather skip — about common sense, about scale, and about who gets to build the future.

Twice named one of TIME's 100 Most Influential People in AI, she's now making the case for a different kind of intelligence: smaller, smarter, and open to far more of the world.

Read the full story here:

How Yejin Choi is challenging AI’s biggest assumptions—about common sense, about scale, and about who gets to build the future.

06/05/2026

How do we make AI trustworthy enough for genuine scientific discovery? and Associate Professor Benjamin Nachman – who is also the co-director for the Center for Decoding the Universe – shares his insights from the AI+Science conference ↘️