Position Co-author, AI Snake Oil Role Speaker, Responsible AI learning cohort Bio/Description Sayash Kapoor is a Laurance S. Rockefeller Graduate Prize Fellow in the University Center for Human Values and a computer science Ph.D. candidate at Princeton University's Center for Information Technology Policy. He is a coauthor of AI Snake Oil with Prof. Arvind Narayanan (Princeton University Press), a book that provides a critical analysis of artificial intelligence, separating the hype from the true advances. His research examines the societal impacts of AI, with a focus on reproducibility, transparency, and accountability in AI systems. He is especially interested in the interaction between AI and policy. He has previously worked on AI in various institutions in academia and the industry, including at Facebook, Columbia University, and EPFL Switzerland. Kapoor has been recognized with various awards, including a best paper award at ACM FAccT, an impact recognition award at ACM CSCW, and inclusion in TIME’s inaugural list of the 100 most influential people in AI.Sayash and Arvind provide critical commentary on AI in AI Snake Oil newsletter, which is read by over 30,000 researchers, policy makers, journalists, and AI enthusiasts. Upcoming Professional Development Events Oct 11 Office Hours with Graduate Alum in Residence Jean Tom *93 CBE Oct 14 Fall Break Parallel Programming Bootcamp (Oct 14-15) Oct 14 Part 1, Wild Walks: Exploring Minerals and Elements in Sculptures Oct 15 Fall Break Parallel Programming Bootcamp (Oct 14-15) Oct 15 Inclusive Leadership Learning Cohort 2024: Session 5 "Social Change Model and Understanding Implicit & Explicit Bias" Oct 16 Introduction to Accelerated Data Science Oct 17 A.I. in the Cloud: Overview of Azure and GCP, Deep Dive into AWS Oct 17 Part 2, Wild Walks: Exploring Minerals and Elements in Buildings Oct 17 Debugging and Profiling with Linaro Forge Oct 18 Office Hours with Graduate Alum in Residence Jean Tom *93 CBE Oct 20 Getting Started with LaTeX Oct 21 Geospatial Analysis with ArcGIS Online