New research from HAI Senior Fellow Daniel E. Ho finds a disturbingly high hallucinations rate in legal AI.
New research from HAI Senior Fellow Daniel E. Ho finds a disturbingly high hallucinations rate in legal AI.
35 Stanford Research Teams Receive 2023 HAI Seed Grants and HAI-AIMI Partnership Grants
Stanford HAI awards $2.2 million for early-stage researchers to pursue new ideas in AI-related fields
Stanford HAI awards $2.2 million for early-stage researchers to pursue new ideas in AI-related fields
Wearing a non-invasive, electronic cap that reads the wearer’s EEGs, humans can now command robots to perform a range of everyday tasks.
Wearing a non-invasive, electronic cap that reads the wearer’s EEGs, humans can now command robots to perform a range of everyday tasks.
Hallucinating Law: Legal Mistakes with Large Language Models are Pervasive
A new study finds disturbing and pervasive errors among three popular models on a wide range of legal tasks.
A new study finds disturbing and pervasive errors among three popular models on a wide range of legal tasks.
Scholars develop a new model to surface high-risk messages and dramatically reduce the time it takes to reach a patient in crisis, from 10 hours to 10 minutes.
Scholars develop a new model to surface high-risk messages and dramatically reduce the time it takes to reach a patient in crisis, from 10 hours to 10 minutes.
Five leaders will serve as the Advisory Board for a new initiative to measure and improve transparency in the foundation model ecosystem.
Five leaders will serve as the Advisory Board for a new initiative to measure and improve transparency in the foundation model ecosystem.
Stanford scholars explore advances in foundation models, explore the next-generation chip, and study causal models at the recent Hoffman-Yee Symposium.
Stanford scholars explore advances in foundation models, explore the next-generation chip, and study causal models at the recent Hoffman-Yee Symposium.
Seven Stanford HAI faculty and fellows predict the biggest stories for next year in artificial intelligence.
Seven Stanford HAI faculty and fellows predict the biggest stories for next year in artificial intelligence.
Generative models dominated the year, as calls for policy and transparency heated up.
Generative models dominated the year, as calls for policy and transparency heated up.