How early cognitive research funded by the NSF paved the way for today’s AI breakthroughs—and how AI is now inspiring new understandings of the human mind.
How early cognitive research funded by the NSF paved the way for today’s AI breakthroughs—and how AI is now inspiring new understandings of the human mind.
Intellectual Curiosity Meets Machine Learning: Rylan Schaeffer’s Journey into Data Science
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.
Newly appointed graduate fellows and postdoctoral fellows will help to shape the future of human-centered AI.
Newly appointed graduate fellows and postdoctoral fellows will help to shape the future of human-centered AI.
At a recent Stanford-MIT-Princeton workshop, experts highlight the need for legal protections, standardized evaluation practices, and better terminology to support third-party AI evaluations.
At a recent Stanford-MIT-Princeton workshop, experts highlight the need for legal protections, standardized evaluation practices, and better terminology to support third-party AI evaluations.
At Five Years Old, Institute For Human-Centered AI Looks To The Future
This year, Stanford HAI celebrated the fifth year since its founding. Looking forward, the institute aims to continue fostering a better understanding of AI's impacts on society.
This year, Stanford HAI celebrated the fifth year since its founding. Looking forward, the institute aims to continue fostering a better understanding of AI's impacts on society.
Rishi Bommasani, Society Lead at HAI's CRFM, discusses where AI is proving most dangerous, why openness is important, and how regulators are thinking about the open-close divide.
Rishi Bommasani, Society Lead at HAI's CRFM, discusses where AI is proving most dangerous, why openness is important, and how regulators are thinking about the open-close divide.
Tech Ethics & Policy: Stanford HAI’s AI Fellowship Program Connects Students with Roles in Public Service
Three students share their experiences working at the forefront of technology regulation and policy in Washington, D.C.
Three students share their experiences working at the forefront of technology regulation and policy in Washington, D.C.
