Position Professor, COS; Director, CITP and co-author of AI Snake Oil Role Speaker, Responsible AI learning cohort Bio/Description Arvind Narayanan is a professor of computer science at Princeton and the director of the Center for Information Technology Policy. He co-authored a textbook on fairness and machine learning. In 2024, he co-authored (with Sayash Kapoor) a book on AI snake oil (Princeton University Press. He led the Princeton Web Transparency and Accountability Project to uncover how companies collect and use our personal information. His work was among the first to show how machine learning reflects cultural stereotypes, and his doctoral research showed the fundamental limits of de-identification. Narayanan is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), twice a recipient of the Privacy Enhancing Technologies Award, and thrice a recipient of the Privacy Papers for Policy Makers Award.Arvind and Sayash provide critical commentary on AI in AI Snake Oil newsletter, for which we were recognized on the TIME 100 AI list. It is read by over 30,000 researchers, policy makers, journalists, and AI enthusiasts. Upcoming Professional Development Events Mar 19 Digital Scholarship Foundations: Static Websites (4 of 4) Mar 19 GradFUTURES Science Policy Learning Cohort: 5. Public engagement & media literacy Mar 20 Research Data Stewardship series: Data Organization Mar 20 Crafternoon: Decoupage a Pressed Flower Bookmark Mar 20 Using R with ArcGIS Pro Mar 20 Creating Reusable Python Code: From Notebooks to Scripts to Packages Mar 21 Tour of Firestone Library Mar 21 Fiber+Data: Working Session #2 Mar 24 Science Mapping with VOS Viewer Mar 24 Geospatial Analysis with ArcGIS Online Mar 24 From Dissertation to Dream Job: Leveraging AI & LinkedIn for Career Clarity Mar 24 Science Communication Day: Creative Communications for (Non-Technical) Public Engagement: Panel