Nonprofits see real potential in mission-driven AI tools. A new survey suggests future opportunities.
Nonprofits see real potential in mission-driven AI tools. A new survey suggests future opportunities.
To realize the benefits of AI in detecting diseases such as skin cancer, doctors need to trust in the decisions rendered by AI. That requires better understanding of its internal reasoning.
To realize the benefits of AI in detecting diseases such as skin cancer, doctors need to trust in the decisions rendered by AI. That requires better understanding of its internal reasoning.
Stanford HAI faculty fellow says there’s a better way to make health data useful for patients and clinicians.
Stanford HAI faculty fellow says there’s a better way to make health data useful for patients and clinicians.
Stanford HAI leader James Landay joined executives and policymakers in Switzerland for the major economic summit.
Stanford HAI leader James Landay joined executives and policymakers in Switzerland for the major economic summit.
HAI Co-Director Li shares her personal story from a childhood in China to risking her scientific career on ImageNet.
HAI Co-Director Li shares her personal story from a childhood in China to risking her scientific career on ImageNet.
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.