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
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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Wow, its been kind of a good month for AI advocacy wins - yesterday, New York State Education Department banned facial recognition use in schools!
Rashida Richardson & others have been pushing for this in NY since 2017 (6 years ago)! So happy for them! 🎉
Literally this month, in *2023*, a federal judge finally ruled that Idaho had to release the details of the AI systems it uses in it's state-wide decision-making on Medicaid.
The case was originally filed in *2015*! It takes so long to see results 😭
Reminder! Oct 4 deadline for #NeurIPS2023 Workshop on Adaptive Experimental Design & Active Learning in the Real World🔬
💸$1000 best student paper award.👥Great set of speakers: @MihaelaVDS @annadgoldie @nathankallus @eytan @EmmaBrunskill @erika_alden_d
http://realworldml.github.io/neurips2023
📣Excited to share our work on conformalized GNN with @YingJin531, Emmanuel Candes and @jure !
Given an entity in the graph, it produces a prediction set/interval that provably contains the true label with pre-defined coverage probability (e.g. 90%):
https://arxiv.org/abs/2305.14535
Stanford CS 329T: Trustworthy Machine Learning: Large Language Models and Applications -- a course I am teaching with John Mitchell (Stanford) and Ankur Taly (Google) started today!
We will be putting a lot of content online. Check out the course page and stay tuned for more…
Ready to pivot to #AI? Our next course, taught by @percyliang & @DorsaSadigh is a perfect jumping-off point! You'll learn foundational principles of modern AI as you practice implementing various AI systems. The 10-week course starts Oct 2. @StanfordAILab
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.
Learn More