Stanford AI Lab
The Stanford Artificial Intelligence Laboratory (SAIL) has been a center of excellence for Artificial Intelligence research, teaching, theory, and practice since its founding in 1963.
Latest News
Prof. Fei Fei Li featured in CBS Mornings the Age of AI
Follow Prof. Li's interview with CBS Mornings and on being named the "Godmother of AI"
Congratulations to Fei-Fei Li for Winning the Intel Innovation Lifetime Achievement Award!
Congratulations Fei-Fei Li on this acknowledgement of her significant contributions in the field! The award was presented to her by Intel CEO Pat Gelsinger and recognizes her many advances in AI.
SAIL Chirpy Cardinal Team Wins First Place for Scientific Innovation in Alexa Prize
Congratulations to the Chirpy Cardinal team, led by Ryan Chi and mentored by Chris Manning, which has won first place for Scientific Invention and Innovation in the Alexa Prize SocialBot Grand Challenge 5!
Fei Fei Li and Andrew Ng Included on the Time 100 AI List
Congratulations to Professors Fei Fei Li and Andrew Ng, and SAIL students, Timnit Gebru, Neal Khosla, Stuart Russell, Richard Socher, Nancy Xu, for making it to the TIME100 AI list with the most influential people in artificial intelligence!
Chelsea Finn Wins Okawa Foundation Award
Congratulations to Professor Chelsea Finn for being one of the 7 people in the US selected to receive an award from the Okawa foundation! Her award is to support her work studying generality and dexterity in visuomotor control.
SAIL AI Legacy Video Wins Emmy Award
Our video highlighting 60 Years of Artificial Intelligence history at Stanford won the Science and Technology category at the 52nd Northern California Area Emmy Awards. Congratulations to everyone involved in SAIL and Stanford Video!
SAIL AI Legacy Video Wins Two Telly Awards
The SAIL AI at Stanford 1962-2022 video is a Gold Telly Winner in the Non-Broadcast – Documentary: Short Form (Under 40 Minutes) category, and a Silver Telly Winner in the Non-Broadcast – Educational Institution category.
Latest Tweets
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It was great to host you. Thanks for the awesome lecture and engagement with students!
Really excited about this work! We figured out how to apply DPO (Direct Preference Optimization) to diffusion models and got big improvements in image quality
Great paper by @StanfordAILab and @SalesForce AI. Most (all?) major image generation platforms use human feedback, but little research on the topic is publicly available.
My tweet was featured in a YT video recently. Is this a sign to start tweeting again?😁 (ty for spotting it @jonaslavoie)
Suppose one trains a sequence of models on an accumulating dataset, with new data labeled or generated by the most recent model.
How does the bias of the original dataset evolve over time? 🤔
A short extended abstract appearing at #NeurIPS2023's @afciworkshop
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🚨 New policy brief: Millions of images are generated each day using text-to-image AI systems. Our latest brief examines how major image generation models encode a wide range of dangerous biases about demographic groups. Read or download here: https://hai.stanford.edu/policy-brief-demographic-stereotypes
We Are Pleased to Welcome New Members of Our Faculty
Diyi Yang who focuses on Computational Social Science and Natural Language Processing
Sanmi Koyejo who focuses on Trustworthy Machine Learning for Healthcare and Neuroscience
Affiliates Program
Stanford AI Lab faculty and students enjoy chances to understand and solve the not-yet-doable pain points of industry. Get a chance to support and interact with SAIL’s brightest minds.
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