Hi, I'm Rachel Kim.

I am a 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 interests lie broadly in the intersections between artificial intelligence (AI), machine learning (ML), and public policy. I am interested in both developing AI and ML for public policy problems and conversely developing policy for responsible AI and ML.

I completed my HBSc 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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Updates

Publications

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
To appear in Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2025.

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

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