AI Companions May Worsen Loneliness for Vulnerable Users, Stanford Study Finds
Stanford research finds that users with limited social networks who seek emotional support from AI companions experience lower well-being.
Stanford research finds that users with limited social networks who seek emotional support from AI companions experience lower well-being.
This brief highlights the emergence of world models and outlines a first-of-its-kind governance and policy agenda for the technology.
This brief highlights the emergence of world models and outlines a first-of-its-kind governance and policy agenda for the technology.
Open-Weight Models Aren’t Enough. We Need Truly Open Source AI Models for Science and Society.
As Chinese AI closes the capability gap, Washington and Silicon Valley debate open-weight models. Stanford HAI's James Landay says it's the right conversation framed the wrong way.
As Chinese AI closes the capability gap, Washington and Silicon Valley debate open-weight models. Stanford HAI's James Landay says it's the right conversation framed the wrong way.
The Commercial Landscape of AI Sovereignty Offerings
This brief surveys the commercial AI sovereignty market and argues that policymakers should focus on calibrating interdependence rather than pursuing full self-sufficiency.
This brief surveys the commercial AI sovereignty market and argues that policymakers should focus on calibrating interdependence rather than pursuing full self-sufficiency.
As artificial intelligence moves beyond language into the physical world through "world models," Stanford researchers warn that policymakers face an even steeper governance challenge than with large language models—and the window to get ahead of the technology is closing fast.
As artificial intelligence moves beyond language into the physical world through "world models," Stanford researchers warn that policymakers face an even steeper governance challenge than with large language models—and the window to get ahead of the technology is closing fast.
Operationalizing Real-Time Monitoring of Clinical AI
This brief demonstrates how real-time monitoring can address critical gaps in the oversight of radiological AI tools.
This brief demonstrates how real-time monitoring can address critical gaps in the oversight of radiological AI tools.
