Jane Castleman
Graduate Student, Princeton University
Jane Castleman's Photo

I'm a first year graduate CS student at Princeton University advised by Aleksandra Korolova, working in the Center for Information Technology Policy.

My research centers around the fairness, transparency, and privacy of algorithmic systems, particularly in the context of generative AI and online platforms. I use methods such as algorithmic audits and empirical evaluations to study the impacts of emerging technologies to inform public policy and regulation. My work has been published in venues such as ACM FAccT and AIES.

I recently started a blog, Eclectic Notes on AI with Aleksandra Korolova. Check it out!

News

Publications

  • Adultification Bias in LLMs and T2I Models
    Jane Castleman and Aleksandra Korolova
    ACM Conference on Fairness, Accountability, and Transparency (FAccT '25), 2025. Paper
  • Missing the Mark: Rethinking Math Benchmarks for LLMs using IRT
    Jane Castleman*, Nimra Nadeem*, Tanvi Namjoshi*, and Lydia T. Liu
    AAAI 2025 Workshop on AI for Education (iRAISE), Spotlight, 2025. Paper * denotes equal contribution.
  • Why Am I Still Seeing This: Measuring the Effectiveness of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems
    Jane Castleman and Aleksandra Korolova
    7th AAAI Conference on AI, Ethics, and Society (AIES '24), 2024. Paper

Misc

Outside of graduate school, I enjoy spending time outside and playing sports. I was a member of the inaugural Varsity Women's Rugby team at Princeton and was selected to the National Intercollegiate Rugby All-Academic team in 2023.

I'm always happy to discuss research ideas or talk to students thinking about applying to graduate school.