Stanford HAI researchers create eight new AI benchmarks that could help developers reduce bias in AI models, potentially making them fairer and less likely to case harm.

A study led by Stanford HAI Faculty Fellow Johannes Eichstaedt reveals that large language models adapt their behavior to appear more likable when they are being studied, mirroring human tendencies to present favorably.

Stanford HAI researchers develop a new benchmark suite aimed to test difference awareness in AI models. 

Fei-Fei Li, Co-Director of Stanford HAI, outlines “three fundamental principles for the future of AI policymaking” ahead of the AI Action Summit in Paris.

Fei Fei Li, Co-Director of Stanford HAI, stresses the importance of governance for AI technologies. 

A team of researchers from Stanford HAI, MIT, and Princeton created the Foundation Model Transparency Index, which rated the transparency of 10 AI companies; each one received a failing grade.

Erik Brynjolfsson, HAI Senior Fellow and Director of the Stanford Digital Economy Lab, comments on the problems with AI spending. 

HAI Policy Fellow Riana Pfefferkorn gives insight into legislative session decisions in AI going into 2025. 

HAI Executive Director Russell Wald explains why academia needs reform in order to stay in the “AI game."

HAI Executive Director Russell Wald discusses the importance of academia's role in public sector AI. 

HAI Policy Fellow Riana Pfefferkorn speaks about a new law in effect, criminalizing the creation, distribution, and possession of AI-generated child sexual abuse material.

HAI Executive Director Russell Wald speaks about the importance of passing the CREATE AI Act, born from Stanford HAI's National AI Research Resource. 

Ray Perrault, Co-Director of the AI Index Steering Committee, explains the widening gap between the U.S. and China in rankings from the AI Global Vibrancy Tool. 

AI Index Steering Committee Co-Director Ray Perrault comments on the AI Global Vibrancy Tool rankings. 

Stanford HAI co-director Fei-Fei Li says the next frontier in AI lies in advancing spatial intelligence. In this op-ed, she explains how enabling machines to perceive and interact with the world in 3D can unlock human-centered AI applications for robotics, healthcare, education, and beyond.

This year, Stanford HAI celebrated the fifth year since its founding. Looking forward, the institute aims to continue fostering a better understanding of AI's impacts on society.

Rishi Bommasani, Society Lead at HAI's CRFM, discusses where AI is proving most dangerous, why openness is important, and how regulators are thinking about the open-close divide. 

Stanford's RegLab, directed by HAI Senior Fellow Daniel E. Ho, developed an AI model that helped Santa Clara accelerate the process of flagging and mapping restrictive covenants.