
About
Arvind Narayanan is a Professor of Computer Science at Princeton University and Director of the Center for Information Technology Policy. He co-authored a textbook on fairness in machine learning and is currently co-authoring a book critiquing 'AI snake oil.' His research focuses on privacy, AI ethics, and societal impacts of technology. Notable projects include the Princeton Web Transparency and Accountability Project, which exposed corporate data practices, and early work on de-identification limits.
He holds the Presidential Early Career Award for Scientists and Engineers (PECASE), among others. His recent work challenges dystopian/utopian AI narratives, advocating for pragmatic, human-centered approaches. He advises initiatives like the UN Human Development Report 2025 and collaborates on projects like 'Better Feeds' to design ethical algorithms.
His publications emphasize AI as 'normal technology' requiring incremental improvements rather than existential solutions. He actively engages with policy through writings and public commentary on technology governance.
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