All Work Published on Machine Learning
A study led by Stanford HAI Faculty Fellow Johannes Eichstaedt reveals that large language models adapt their behavior to appear more likable when they are being studied, mirroring human tendencies to present favorably.
A study led by Stanford HAI Faculty Fellow Johannes Eichstaedt reveals that large language models adapt their behavior to appear more likable when they are being studied, mirroring human tendencies to present favorably.
Carlos Guestrin to Lead Stanford AI Lab as it Joins Forces with Stanford HAI
The computer scientist will invest in SAIL’s vibrant research community as it builds the future of technical AI.
The computer scientist will invest in SAIL’s vibrant research community as it builds the future of technical AI.
Stanford researchers uncover the key factors behind successful AI development in the workplace.
Stanford researchers uncover the key factors behind successful AI development in the workplace.
AI’s Fairness Problem: When Treating Everyone the Same is the Wrong Approach
Current generative AI models struggle to recognize when demographic distinctions matter—leading to inaccurate, misleading, and sometimes harmful outcomes.
Current generative AI models struggle to recognize when demographic distinctions matter—leading to inaccurate, misleading, and sometimes harmful outcomes.
