Category: Artificial Intelligence, Data Science & Society
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AI Is Already Giving Medical Conclusions. Are They Any Good?
Authored by: Hayoung Jung Recently, I was talking with some family members from South Korea who mentioned their back pain. My immediate question: “What did the doctor say?” Healthcare is highly accessible and affordable in South Korea, so I assumed they had already seen one. Nope. They asked ChatGPT. In all honesty, this was not…
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Meet the Researcher: Miranda Wei
Miranda Wei studies online abuse and societal factors in sociotechnical safety, especially concerning social media, gender, and interpersonal relationships. Their research interests lie at the intersections of computer security and privacy (S&P), human-computer interaction (HCI), and feminist science and technology studies (STS). Wei recently sat down with Princeton undergraduate Grace Ding ’29 to discuss their…
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Can AI reduce burdens on courts by automatically verifying citations?
Authored by : Patty Liu, Dominik Stammbach, Peter Henderson Fabricated case citations generated by AI are appearing in court filings at an accelerating rate. Combined with other tracking efforts, we have identified over 1,000 filings containing hallucinated citations from self-represented (pro se) litigants and lawyers alike. Fabricating citations, or misrepresenting the content of those citations,…
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Make America AI Ready: Strengths, Weaknesses, and Recommendations
Analysis by: Jane Castleman, Sam Hafferty, Steven Kelts, Arvind Narayanan, Francesco Salvi, Hilke Schellmann Edited by: Sam Hafferty, Steven Kelts, Arvind Narayanan, Hilke Schellmann The Trump administration has made artificial intelligence a centerpiece of its economic agenda, promising to retrain a workforce it says must be ready to compete in an AI-driven future. One early…
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Meet the Researcher: Sophie Luskin
Sophie Luskin is an Emerging Scholar at the Princeton Center for Information Technology (CITP) conducting research on regulation, issues, and impacts around generative AI for companionship, social and peer media platforms, age assurance, and consumer privacy to protect users and promote responsible deployment. Her research has been conducted across policy, legal, journalistic, and communications spaces.…
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AI Chip Lifespans: A Note on the Secondary Market
Two months ago, I wrote about the competition concerns with the GenAI infrastructure boom. One of my provocative claims was that the lifespan of the chips may be significantly shorter than the accounting treatment given to them. Others like David Rosenthal, Ed Zitron, Michael Burry and Olga Usvyatsky have raised similar concerns. NVIDIA has a…
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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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Why the GenAI Infrastructure Boom May Break Historical Patterns
Authored by Mihir Kshirsagar Observers invoke railroad, electricity, and telecom precedents when contextualizing the current generative artificial intelligence (GenAI) infrastructure boom—usually to debate whether or when we are heading for a crash. But these discussions miss an important pattern that held across all three prior cycles: when the bubbles burst, investors lost money but society…
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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…