Category: Artificial Intelligence, Data Science & Society
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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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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…
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A Guide to Cutting Through AI Hype: Arvind Narayanan and Melanie Mitchell Discuss Artificial and Human Intelligence
Last Thursday’s Princeton Public Lecture on AI hype began with brief talks based on our respective books: The meat of the event was a discussion between the two of us and with the audience. A lightly edited transcript follows. Photo credit: Floriaan Tasche AN: You gave the example of ChatGPT being unable to comply with…
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Revolutionizing Rideshare: Researchers Develop FairFare App to Empower Workers
On February 1, 2025, Colorado’s Transportation Network Transparency Bill (SB24-075) took effect. CITP scholars, along with their colleagues, played a key role in supporting advocacy around the bill by creating the FairFare app, which provided transparent data to help drivers, union organizers, and policymakers better understand the ride hail industry. Among other things, the new…
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The Inception of CITP’s Digital Witness Lab – A Retrospective with Surya Mattu
By David M. Krakow The issue of data privacy is hardly new. The term “right to privacy” was used as far back as an 1890 Harvard Law Review article addressing the threat posed by photography and newspapers. Fast forward 135 years, and the threat is more complicated and widespread. It seems at times that one…
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Paris AI Action Summit 2025: AI Regulation Perspectives – TechTakes
How much regulation is too much regulation? The Paris Artificial Intelligence Action Summit 2025 ended yesterday with the U.S. and UK refusing to sign a 100-nation statement of regulatory priorities, aiming at creating a global AI sector that is “human rights based, human-centric, ethical, safe, secure and trustworthy,” and addresses global inequalities in AI capacity.…
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Balancing Free Speech & Safety: Envisioning a Human-Centered First Amendment for AI Regulation – TechTakes
How should the law handle manipulative AI content, like bots that encourage self-harm or give explicit instructions for it? The U.S. First Amendment protects speakers, and AI companies might justifiably claim its protections. But does the user of AI content have any right to a safe or truthful information environment, unpolluted by content aimed at…
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“It Wasn’t Me”: DeepSeek denies they stole anything, but is their model still a cost revolution? – TechTakes
DeepSeek R1 came out on January 20, 2025, and triggered strong reactions throughout the world. Nvidia stock