Center for Information Technology Policy

The Center for Information Technology Policy uses Princeton’s unique strengths to promote an informed public discussion of digital technologies. Combining faculty expertise in technology and engineering, public policy, and the social sciences with a strong University tradition of service, the Center’s research, teaching, and public programs address digital technologies as they interact with policy, markets, and society. The center is a joint initiative of the School of Engineering and Applied Science and the School of Public and International Affairs.

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

Tech policy conference highlighted the need for talent across disciplines

Group photo of the researchers on campus grounds. — Princeton researchers have squelched a major internet security threat by working with top industry organizations to close a loophole in the world’s website credential system. Pictured, from left: Mihir Kshirsagar, Prateek Mittal, Grace Cimaszewski, Henry Birge-Lee, Jennifer Rexford. Photo by Sameer A. Khan/Fotobuddy

Internet researchers reach beyond academia to close major security loophole

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

For AI, secrecy often doesn't improve security

Portrait of Mittal. — Prateek Mittal. Photo by Olga Kolleeny

Prateek Mittal wins ACM Grace Hopper Award for enhancing internet privacy and security

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.

February 18

12:30 pm

CITP Seminar: The Reach of Fairness: From Algorithmic Justice to Experimental Design

Maria Apostolaki

Electrical and Computer Engineering

Andrew Appel

Computer Science

Portrait Elie Bou-Zeid

Elie Bou-Zeid

Civil and Environmental Engineering

Adji Bousso Dieng

Computer Science

Jaime Fernández Fisac

Electrical and Computer Engineering

Michael Freedman

Computer Science

Portrait of Peter Henderson

Peter Henderson

Computer Science

Brian Kernighan

Computer Science

Aleksandra Korolova

Computer Science

Sanjeev Kulkarni

Electrical and Computer Engineering and Operations Research and Financial Engineering

Amit Levy

Computer Science

Lydia Liu portrait

Lydia Liu

Computer Science

Portrait of Margaret Martonosi

Margaret Martonosi

Computer Science

Jonathan Mayer

Computer Science

Prateek Mittal

Electrical and Computer Engineering

Andrés Monroy-Hernández

Computer Science

Arvind Narayanan

Computer Science

Peter Ramadge

Electrical and Computer Engineering

Jennifer Rexford

Computer Science

Olga Russakovsky

Computer Science

Olga Troyanskaya

Computer Science

Pramod Viswanath

Electrical and Computer Engineering

Matt Weinberg

Computer Science