All Work Published on Ethics, Equity, Inclusion
Can AI Hold Consistent Values? Stanford Researchers Probe LLM Consistency and Bias
New research tests large language models for consistency across diverse topics, revealing that while they handle neutral topics reliably, controversial issues lead to varied answers.
New research tests large language models for consistency across diverse topics, revealing that while they handle neutral topics reliably, controversial issues lead to varied answers.
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.
Peter Norvig, Distinguished Education Fellow at the Stanford HAI, comments on how limiting the budget at an AI agent’s disposal as well as transaction times and capabilities can help AI agents “operate safely within defined boundaries."
Peter Norvig, Distinguished Education Fellow at the Stanford HAI, comments on how limiting the budget at an AI agent’s disposal as well as transaction times and capabilities can help AI agents “operate safely within defined boundaries."
Large language models exhibit alarming magnitudes of bias when generating stories about learners, often reinforcing harmful stereotypes
Large language models exhibit alarming magnitudes of bias when generating stories about learners, often reinforcing harmful stereotypes
Real AI Threats Are Disinformation, Bias, And Lack Of Transparency: Stanford’s James Landay
James Landay, Co-Founder of Stanford HAI, says disinformation, deepfake, discrimination and job displacement; of which not a lot has happened yet, are the real harms of AI.
James Landay, Co-Founder of Stanford HAI, says disinformation, deepfake, discrimination and job displacement; of which not a lot has happened yet, are the real harms of AI.
HAI Co-Director Fei-Fei Li is recognized for her commitment to ethical AI and interdisciplinary research, continuing to shape the future of AI development and application.
HAI Co-Director Fei-Fei Li is recognized for her commitment to ethical AI and interdisciplinary research, continuing to shape the future of AI development and application.