This talk focuses on the political economy of venture capital as context for "technological innovation." Successful startups grow from concepts into companies reaching billions in valuation within a f...

As large language models (LLMs) proliferate, understanding their emergent behaviors remains a central challenge. This talk proposes a framework for interpreting LLM behavior through the lens of geomet...

Machine learning models are often assessed by the quality of their predictions, yet their real-world impact extends far beyond these metrics. Models function as interventions within complex social sys...

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, ...

Twenty years after Facebook spread across college campuses, its effects on society remain heavily studied and poorly understood. Little consensus exists over whether it promotes or degrades mental hea...

Applications are now open for Princeton University’s Center for Information Technology Policy (CITP) 2026-27 Fellows Program. Candidates are encouraged to apply by the start-of-review date of December...

This Key Update covers major breakthroughs in AI capabilities since the publication of the last Report in January 2025 and some implications for major risks. New training techniques that allow AI syst...

Judge Amit Mehta shaped his remedies in the Google Search case on the assumption that startups developing generative artificial intelligence models can restore competition in internet search. Mihir Kshirsagar analyzes the barriers to entry these startups face—scale, distribution, defaults, data and integration advantages, and content access—to show how Big Tech is still in control of the future of the search industry.