Author: Center for Information Technology Policy
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The Limits of Data Filtering in Bio-Foundation Models
Blog Authors: Boyi Wei, Matthew Siegel, and Peter Henderson Paper Authors: Boyi Wei*, Zora Che*, Nathaniel Li, Udari Madhushani Sehwag, Jasper Götting, Samira Nedungadi, Julian Michael, Summer Yue, Dan Hendrycks, Peter Henderson, Zifan Wang, Seth Donoughe, Mantas Mazeika This post is modified and cross-posted between Scale AI and Princeton University. The original post can be…
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Meet the Researcher: Jane Castleman
Jane Castleman is a Master’s student in the Department of Computer Science at Princeton University. Castleman’s research centers around the fairness, transparency, and privacy of algorithmic systems, particularly in the context of generative AI and online platforms. She recently sat down with Princeton undergraduate Jason Persaud ‘27 to discuss her research interests and gave some…
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Meet the Researcher: Varun Satish
Varun Satish is a Ph.D. student in demography at Princeton University. His current projects include using language models to study the life course, and using machine learning to uncover shifting perceptions of social class in the United States over the last 50 years. Satish is originally from Western Sydney, Australia. Princeton undergraduate Jason Persaud ‘27…
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Hard Choices: CITP Workshop on Payment Systems at the Global DPI Summit in Capetown, South Africa
Authored by Mihir Kshirsagar, Jeremy McKey, and Felix Chen On November 5, 2025, Princeton CITP and the M.S. Chadha Center for Global India (CGI), in partnership with AfricaNenda, will convene an interactive workshop at the Global DPI Summit 2025 to examine the difficult trade-offs governments face when designing national payment systems. The session, Hard Choices…
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Meet the Researcher: Sam Hafferty
Sam Hafferty is part of the 2024 – 2026 Emerging Scholar Program cohort at the Princeton Center for Information Technology Policy (CITP). Hafferty is contributing to work concerning data privacy regulation and broadband equity. Princeton undergraduate Jason Persaud ‘27 recently sat down with Hafferty to discuss how they got started in this type of work,…
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AI “Born Secret”? The Atomic Energy Act, AI, and Federalism
Authored by: Kylie Zhang and Peter Henderson Tl;dr: Can states regulate AI risks of disclosing nuclear secrets? This post will explore the Atomic Energy Act, its applicability to AI, the potential impacts on state efforts, and potential policy recommendations for guiding AI safety evaluations and model releases. If an advanced AI system can figure out…
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The Promise of “Public AI”: Lessons from a National Gathering of State Leaders
Blog Post Author: Mihir Kshirsagar Shaping the Future of AI Conference Report authored by: Mihir Kshirsagar and Sophie Luskin Photography by Sameer Khan / Fotobuddy Photography This summer, over 120 policymakers, researchers, and government leaders gathered in Princeton to wrestle with a deceptively simple question: How can artificial intelligence truly serve the public interest? Our…
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The State AI Policy Forum: First Convening This Friday
Author: Mihir Kshirsagar CITP is launching the inaugural State AI Policy Forum this Friday, September 26, 2025 with our first convening of state legislators and their staff. The Forum provides a neutral venue for state legislators to learn about the policy implications of AI technologies. The Forum addresses the challenge that state legislators are making…
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How do states define digital literacy in their digital equity plans?
Co-authored by Sam Hafferty, Mihir Kshirsagar, Eszter Hargittai, and Tithi Chattopadhyay Our survey of state digital equity plans makes abundantly clear that states view digital skills as important and necessary to modern life. With increasing digital workplace demands, shifts towards K-12 online learning environments, and the adoption of telehealth technologies in medical service administration, digital…