I am an AI policy researcher at OECD.AI. Previously, I was advised by Dylan Hadfield-Menell, Elsa Olivetti, Emőke-Ágnes Horvát, and Juho Kim. Working alongside these experts in technical AI safety, supply chain systems, network science, and human-computer interaction, I found myself navigating a research landscape that was dynamic—perhaps a bit too dynamic—and often accompanied by regular existential crises. Little did I know that this academic uncertainty would sharpen my adaptability and versatility, equipping me for the real-world challenges of governing advanced AI systems and facilitating international cooperation. So yes, it seems everything happens for a reason—or at least, we can make it that way!

At the OECD, I am currently working on projects focused on both AI governance and AI-enabled governance. My goal is to inform and improve decision-making around the safe and responsible deployment of AI technologies through robust policy frameworks and technical designs. Outside of work, I am particularly interested in the governability of multi-agent AI systems.

In my spare time, I like to take a stroll, play with oil pastels, and appreciate others’ creative and artistic talents – here’s my (current!) favorite [playlist | webtoon | art | recipe].

Education

🎓 S.M. Computer Science 2023 - Massachusetts Institute of Technology
🎓 S.M. Technology Policy 2023 - Massachusetts Institute of Technology
🎓 B.A. Statistics 2019 - Northwestern University
🎓 B.A. Economics 2019 - Northwestern University

Publications

2023

Choi, E. (2023). Who, When, How (Not) to Imitate? The Role of Imitation in Collective Intelligence, and Its Implications on the Design of Socio-Technical Systems. MIT Thesis.

Bhuwalka, K., Choi, E., Moore E. A., Roth R., Kirchain R.E., & Olivetti E. A. (2023). A Hierarchical Bayesian Regression Model that Reduces Uncertainty in Material Demand Psredictions. Journal of Industrial Ecology.

2022

Choi, E.*, Ko, E.*, Jang, J., & Kim, J. (2022). Capturing Diverse and Precise Reactions to a Comment with User-Generated Labels. WWW.

Dambanemuya, H., Choi, E., Gergle, D., & Horvat, E-A. (2022). Beyond Words: An Experimental Study of Signaling in Crowdfunding. Preprint.

2019

Choi, E. & Horvat, E-A. (2019). Airbnb’s Reputation System and Gender Differences Among Guests: Evidence from Large-Scale Data Analysis and a Controlled Experiment. International Conference on Social Informatics.