📢Introducing #AIIndex2025: This year's report highlights the most critical trends in AI – from shifting geopolitical landscape and rapid technological evolution, to AI’s expanding role in science and medicine, business, and public life. Read more: hai.stanford.edu/ai-index/2025-…

Lectures from our course AA228V: Validation of Safety Critical Systems are now available on Stanford Online! Course Website: aa228v.stanford.edu Textbook: algorithmsbook.com/validation/ Lectures: youtube.com/playlist?list=… Course Instructors: Sydney Katz, Mykel Kochenderfer

Stanford AI Lab (SAIL) is excited to announce new SAIL Postdoctoral Fellowships! We are looking for outstanding candidates excited to advance the frontiers of AI with our professors and vibrant community. Applications received by the end of April 30 will receive full

Congratulations to Anil Yildiz on his PhD defense on Robust Policy Generalization and Risk Quantification in Autonomous Robotics! youtu.be/EkB4Q97McKE

Congratulations to Harrison Delecki on his PhD defense on Sampling and Estimation for the Validation of Safety-critical Autonomous Systems! youtu.be/BaKpz6khJes

Congratulations to Liam Kruse on his PhD defense on Scalable Probabilistic Modeling and Inference with Structured Latent Representations! youtube.com/watch?v=k66oKa…

Stanford HAI article profiles Mykel Kochenderfer's work on validation of AI systems for aviation, autonomous vehicles, and chat agents—read it here. hai.stanford.edu/news/the-evolu…

HAI Senior Fellow Mykel Kochenderfer and his team at SISL aim to transform how AI systems are assessed, promoting a more systematic approach to validation that prioritizes both performance and safety. stanford.io/4kvZkPG

Congratulations to Bernard Lange on his PhD defense on 𝗠𝘂𝗹𝘁𝗶-𝗳𝘂𝘁𝘂𝗿𝗲 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗢𝗰𝗰𝗹𝘂𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗗𝗿𝗶𝘃𝗶𝗻𝗴! youtu.be/brNOnFuBipI?si…

𝗛𝗼𝘄 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀 𝗮𝗿𝗲 𝗱𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝗳𝗮𝗶𝗿 𝗮𝗻𝗱 𝘁𝗿𝘂𝘀𝘁𝘄𝗼𝗿𝘁𝗵𝘆 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 A look at the work of Daniel Ho, Mykel Kochenderfer, and Sanmi Koyejo examining the successes and failures of AI. news.stanford.edu/stories/2025/0…

Congratulations to Houjun Liu, Amelia Hardy, Allie Griffith, Bernard Lange, Duncan Eddy, and Mykel Kochenderfer on their paper acceptance at EMNLP 2025!

Our paper on Long-term Active Embodied Question Answering (LA-EQA), in collaboration with Field AI, is accepted at #CoRL2025! Robots that can remember, explore, and reason over days, weeks, and months. 📄Paper:arxiv.org/pdf/2507.12846 🌐Project:mind-palace-laeqa.github.io Field AI