All Work Published on Foundation Models
Stanford RegLab, Princeton, and the County of Santa Clara Collaborate to Use AI to Identify and Map Racial Covenants from over 5 Million Deed Records
The approach paves the way for faster and more accurate compliance with California’s anti-discrimination law.
The approach paves the way for faster and more accurate compliance with California’s anti-discrimination law.
Dan Ho, HAI Senior Fellow and director of the Stanford RegLab, discusses RegLab's AI model that analyzes decades of property records, helping to identify illegal racially restrictive language in housing documents.
Dan Ho, HAI Senior Fellow and director of the Stanford RegLab, discusses RegLab's AI model that analyzes decades of property records, helping to identify illegal racially restrictive language in housing documents.
AI expert Gary Marcus references HAI's study showing that LLM responses to medical questions highly vary and are often inaccurate.
AI expert Gary Marcus references HAI's study showing that LLM responses to medical questions highly vary and are often inaccurate.
With the release of Meta's Llama 3.1, Director of CRFM and Senior Fellow at Stanford HAI Percy Liang comments on the potential audience shifts that could occur from other commercial AI tools to Llama 3.1.
With the release of Meta's Llama 3.1, Director of CRFM and Senior Fellow at Stanford HAI Percy Liang comments on the potential audience shifts that could occur from other commercial AI tools to Llama 3.1.
China Is the Runaway Leader In Generative AI Patent Applications Followed By The US, The UN Says
Nestor Maslej, editor-in-chief of the AI Index, discusses AI vibrancy in foundation models produced by the United States.
Nestor Maslej, editor-in-chief of the AI Index, discusses AI vibrancy in foundation models produced by the United States.
Stanford HAI Senior Fellow Daniel E. Ho comments on his research on legal hallucinations in large language models and the viability of using similar models for judicial interpretation.
Stanford HAI Senior Fellow Daniel E. Ho comments on his research on legal hallucinations in large language models and the viability of using similar models for judicial interpretation.