
The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.
The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.

"This is AI’s next frontier, and why 2025 was such a pivotal year," writes HAI Co-Director Fei-Fei Li.
"This is AI’s next frontier, and why 2025 was such a pivotal year," writes HAI Co-Director Fei-Fei Li.

Five teams will use the funding to advance their work in biology, generative AI and creativity, policing, and more.
Five teams will use the funding to advance their work in biology, generative AI and creativity, policing, and more.


In evaluating thousands of benchmarks that AI developers use to assess the quality of their new models, a team of Stanford researchers says 5% could have serious flaws that can lead to major ramifications.
In evaluating thousands of benchmarks that AI developers use to assess the quality of their new models, a team of Stanford researchers says 5% could have serious flaws that can lead to major ramifications.

“It connects back to my fear that the people with the fewest resources will be most affected by the downsides of AI,” says HAI Policy Fellow Riana Pfefferkorn in response to a viral AI-generated deepfake video.
“It connects back to my fear that the people with the fewest resources will be most affected by the downsides of AI,” says HAI Policy Fellow Riana Pfefferkorn in response to a viral AI-generated deepfake video.

Stanford researchers show that although top language models cannot yet accurately diagnose children’s speech disorders, fine-tuning and other approaches could well change the game.
Stanford researchers show that although top language models cannot yet accurately diagnose children’s speech disorders, fine-tuning and other approaches could well change the game.
