Jay Chooi

I work on preparing society for powerful artificial intelligence.

Currently, I am a Research Fellow at MATS. My research interests are forecasting physical automation, and understanding how society can remain stable and flourish when political power and economic leverage from human labor diminish.

I graduated from Harvard with a Master's in Statistics and a Bachelor's in Computer Science and Mathematics. There, I was fortunate to be mentored by Professor Ariel Procaccia. My thesis, Computational Perspectives on Democracy in the Age of AI, was awarded Highest Honors.

I am a Rhodes Scholar for 2026. In 2024, my US Presidential Election forecast got all 50 states correct. I am also a gold medalist at the 2021 International Olympiad in Astronomy and Astrophysics.

Read more about my motivations.

Preprints

Efficient Ensemble Selection from Binary and Pairwise Feedback. [arxiv] with T. Y. Neoh, N. Teh, P. W. Goldberg, M. Tambe

Covert Influence Between Language Models. [arxiv] [commentable] with A. Shah, S. Feng

Bridging in Participatory Budgeting. [commentable] with T. Y. Neoh, A. Satish, A. Laprevotte

A Universal Measure of Labour Market Disruption: A Case Study on the UK, 1960–2020. [commentable]

The Persistent Non-Response Bias in a Sample-Matched Poll for the 2024 U.S. Presidential Election. [commentable]

Peer-Reviewed Publications

Finding Common Ground in a Sea of Alternatives. [arxiv] ACM Conference on Economics and Computation (EC 2026) with P. Gölz, A. Procaccia, B. Schiffer, S. Zhang

05/2026

Measuring AI-Induced Disempowerment: A Framework and Proposed Metrics. [commentable] ACL 2026 Workshop on Evaluating AI in Practice (Eval Eval) with J. Lee, J. Li

04/2026

Stylistic Transfer from Annotator Communities to Large Language Models. [official] ACL 2026 Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)

01/2026

DP-AdamW: Investigating Decoupled Weight Decay and Bias Correction in Private Deep Learning. [arxiv] [official] ICML 2025 Workshop on Collaborative and Federated Agentic Workflows with K. Cong, R. Li, L. Sun

11/2025

BluePrint: A Social Media User Dataset for LLM Persona Evaluation and Training. [arxiv] EMNLP 2025 Workshop on Tailoring AI: Exploring Active and Passive LLM Personalization (PALS) with A. Bück-Kaeffer, D. Zhao, M. Puelma Touzel, K. Pelrine, J.-F. Godbout, R. Rabbany, Z. Yang

10/2025

Other Research

Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts. [webpage] [pdf] MIT AI Risk Initiative with A. K. Saeri, J. Graham, M. Noetel, P. Slattery, et al.

06/2026

OpenAI Is Huge in India. Its Models Are Steeped in Caste Bias. [official] MIT Technology Review with N. Christopher

10/2025

Understanding the Landscape of Agrifood Smallholders in Malaysia: Climate Risks, Sustainable Standards, and Gender Gap. [official] Khazanah Research Institute with S. Che Omar, M. A. R. Abu Rahim, N. S. A. Nik Sharifulden, A. N. Teoh, C. X. Lai

03/2024