Year: 2025
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Newly-Retired Andrew Appel Reflects on his Voting Machine Advocacy
by Yaakov Zinberg ‘23 During the first week of the 2009 spring semester, Andrew Appel ’81, Princeton’s Eugene Higgins Professor of Computer Science, made the short trip down Route 1 to Trenton’s Superior Court. He was asked to serve as an expert witness in a New Jersey trial in which the state was accused of…
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The “Bubble” of Risk: Improving Assessments for Offensive Cybersecurity Agents
Authored by Boyi Wei Most frontier models today undergo some form of safety testing, including whether they can help adversaries launch costly cyberattacks. But many of these assessments overlook a critical factor: adversaries can adapt and modify models in ways that expand the risk far beyond the perceived safety profile that static evaluations capture. At…
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Aligned Generative Models Exhibit Adultification Bias
This blog post is based on “Adultification Bias in LLMs and Text-To-Image Models” by Jane Castleman and Aleksandra Korolova, to appear in the 8th ACM Conference on Fairness, Accountability, and Transparency (FAccT 2025). The blog post can also be found on Jane and Aleksandra’s Substack, Eclectic Notes on AI. Generative AI models are poised to…
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What the AI Whistleblower Protection Act Would Mean for Tech Workers
This piece was originally published on Tech Policy Press. Written by Sophie Luskin, Emerging Scholar at CITP. On May 15, Senate Judiciary Chairman Chuck Grassley (R-IA) introduced the AI Whistleblower Protection Act (AIWPA), a bipartisan bill to protect individuals who disclose information regarding a potential artificial intelligence security vulnerability or violation. Under the bill, these whistleblowers…
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Why Should the National R&D Strategy Prioritize Diffusion Over Innovation?
Yesterday, researchers at Princeton’s AI Lab and CITP submitted comments to the National Science Foundation on the 2025 National AI Research & Development (R&D) Strategic Plan. Recent advances in AI (artificial intelligence), particularly with foundation models, are poised to have transformative effects on society. The question is not whether AI will reshape our economy and…
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Paper fingerprinting and ballot tracking
In part 1 of this 2-part series I explained: Some election-integrity advocates have suggested that, in addition to good chain-of-custody procedures for ballots between when they’re cast and when they’re counted (or recounted), we should have better control over what paper (and paper ballots) go into the polling place. This way, if fraudulent ballots got…
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Flaky paper won’t secure our elections without a protocol to go with it
Part 1 of a 2-part series. In this part, why just printing ballots on special paper won’t help much. In part 2, how special paper could have a role if the rest of the system were developed to go with it. How can we best ensure that the ballots tallied are the same ones that…
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Announcing a Study: Assessing The Impact of Federal Funding in Promoting Digital Equity
The Princeton Center for Information Technology (CITP) is embarking on a research study that examines how states are using Digital Equity Act funding to address digital inequity. This post outlines our research agenda and invites input from stakeholders of federally funded digital equity projects from across sectors. Historic Funding The Bipartisan Infrastructure Bill of 2021…
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Meet the Researcher: Mona Wang
Mona Wang is a Princeton Ph.D. student in the Department of Computer Science and the Center for Information Technology Policy. Wang recently sat down with undergraduate student Tsion Kergo ‘26 for an interview where they discussed her research into surveillance technologies, what developed her interest in cryptography, and warns about the security risks of social…
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Meet the Researcher: Dominik Stammbach
Dominik Stammbach is a postdoctoral researcher at the Princeton Center for Information Technology Policy. Stammbach completed his PhD at ETH Zürich in Switzerland and is now a part of Professor Peter Henderson’s POLARIS (Princeton Language+Law, Artificial Intelligence, & Society) Lab, which conducts interdisciplinary research at the intersection of artificial intelligence (AI) and law. Stammbach recently…