Arvind Narayanan is a professor of computer science at Princeton University and the director of the Center for Information Technology Policy. He studies the societal impact of digital technologies, especially artificial intelligence, and has co-authored a textbook on fairness and machine learning. He led the Princeton Web Transparency and Accountability Project to uncover how companies collect and use our personal information. Narayanan’s work was among the first to show how machine learning reflects cultural stereotypes, and his doctoral research showed the fundamental limits of de-identification. His book about AI Snake Oil—AI that does not and cannot work, co-written with Sayash Kapoor—takes readers through the major strains of AI, to show what can work well alongside the inherent limitations.