Arvind

Narayanan

Professor of Computer Science. Director, Center for Information Technology Policy.

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Research interests: Privacy, security, tech policy, cryptography, social networks

‘AI Snake Oil’: A conversation with Princeton AI experts Arvind Narayanan and Sayash Kapoor

A group of panelists sit behind a table as one man addresses the audience

Tech policy conference highlighted the need for talent across disciplines

computer code on a transparent, backlit screen — image by iStock

For AI, secrecy often doesn’t improve security

A person (face not visible) wearing a white lab coat and blue disposable gloves holds a square lab plate in their left hand. Their right hand holds a pair of tweezers which they are using to pick up one of several small green plants on the plate. — Jonathan Conway, assistant professor of chemical and biological engineering, received an innovation grant for the project “Engineering symbiotic plant-microbe interactions for sustainable agriculture.” Photo by Sameer A. Khan/Fotobuddy

Since 2008, innovation funds have fostered research in AI fairness, sustainable agriculture, drug discovery and more

Two instructors speak to students while standing before a white board — Arvind Narayanan and Matthew Salganik, professor of sociology, teach a course for graduate students on “Limits to Prediction.” The course offers tools for critical examination of artificial intelligence and other prediction methods in various areas. Photos by Sameer Khan/Fotobuddy

Is AI too dangerous to release openly?

Illustrated team of scientists around a table with data visualized on the wall. — Researchers recommend 32 best practices to stamp out a smoldering crisis that threatens to engulf all of science: thousands of AI-driven claims across dozens of fields that cannot be reproduced. Illustration courtesy Adobe Stock

Science has an AI problem. This group says they can fix it.

Computer Science

Computer Science

Leading the field through foundational theory, applications, and societal impact