Rachel Kim

I am a third-year PhD student in Societal Computing at Carnegie Mellon University in the School of Computer Science's Software and Societal Systems Department. I am advised by Hoda Heidari and Rayid Ghani. My research is supported by a NSERC PGS D fellowship. I am also working with Daniel Ho at Stanford University's Regulation, Evaluation, and Governance Lab (RegLab).

I am broadly interested in AI evaluation, especially as it relates to AI systems' impact on society. In particular, I am interested in evaluations that better reflect the design, development, and use of AI systems in practice. Toward this end, I also aim to understand and improve the tradeoff between measures that are easy to collect and widely deploy (i.e., scalable), and those that are more informative of AI systems' downstream use and impacts (i.e., valid).

I completed my Honours BSc in Computer Science and Mathematics at the University of Toronto. During my undergraduate years, I had the honour of working with Ashton Anderson and Peter Marbach.

If you want to get in touch, please email me at rachelmkim [at] cmu [dot] edu!

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Publications

(*): Co-first Author, (**): Co-senior Author.

Toward Third-Party Assurance of AI Systems: Design Requirements, Prototype, and Early Testing
Rachel M. Kim*, Blaine Kuehnert*, Alice Lai, Kenneth Holstein, Hoda Heidari**, Rayid Ghani**
Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2026.
Paper / Slides / Website

The AI Power Disparity Index: Toward a Compound Measure of AI Actors' Power to Shape the AI Ecosystem
Rachel M. Kim*, Blaine Kuehnert*, Seth Lazar, Ranjit Singh, Hoda Heidari
Proceedings of the AAAI /ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2025.
Paper / Poster / Knight First Amendment Institute Essay

The "Who", "What", and "How" of Responsible AI Governance: A Systematic Review and Meta-Analysis of (Actor, Stage)-Specific Tools
Blaine Kuehnert*, Rachel M. Kim*, Jodi Forlizzi, Hoda Heidari
Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2025.
Paper / Slides

Capturing Dynamics in Online Public Discourse: A Case Study of Universal Basic Income Discussions on Reddit
Rachel M. Kim, Veniamin Veselovsky, Ashton Anderson
Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 2025.
Paper / Slides

The Agenda-Setting Function of Social Media
Rachel M. Kim, Ashton Anderson
Proceedings of the ACM Web Conference (WWW), 2025. Oral Presentation.
Paper / Code / Slides / Poster