Arvind Narayanan is a Professor of Computer Science at Princeton University and Director of the Center for Information Technology Policy. He is the co-author of AI Snake Oil—both the book and its widely read newsletter, followed by over 50,000 researchers, policymakers, journalists, and AI enthusiasts—and previously co-authored the influential textbooks Bitcoin and Cryptocurrency Technologies and Fairness in Machine Learning. Narayanan led the Princeton Web Transparency and Accountability Project, producing landmark work on data practices and demonstrating some of the earliest evidence that machine learning systems echo cultural biases. Named to TIME’s inaugural list of the 100 most influential people in AI, he has also received the Presidential Early Career Award for Scientists and Engineers (PECASE). https://www.cs.princeton.edu/~arvindn/

Steven Kelts is a Lecturer in Princeton University’s School of Public and International Affairs and Department of Computer Science. His work centers on ethics in technology, including the distinctive moral responsibilities of modern tech firms, with peer-reviewed publications in Technology and Society Magazine and the IEEE International Symposium on Technology and Society. Kelts is an ethics advisor to the Responsible A.I. Institute and the recipient of grants from Princeton’s Council on Science and Technology and from Google for the “Agile Ethics” program. He leads Princeton’s GradFutures initiative on the Ethics of AI, for which he earned the university’s Clio Hall Award. Beyond his teaching and scholarship, Kelts co-founded Kalos Academy, a nonprofit supporting first-generation and low-income students, and has contributed curriculum design for Tsinghua University and the EdTech platform Campus.org. https://www.stevenkelts.com/