Rui-Jie Yew

I am a CS PhD student at Brown University, where I am fortunate to be advised by Suresh Venkatasubramanian. I am also affiliated with the Center for Technological Responsibility (CNTR) and the Data Science Institute (DSI). My current research focuses on the policy impact of conceptualizations of algorithmic systems.

Previously, I graduated from MIT CSAIL with an S.M. in Technology and Policy advised by Dylan Hadfield-Menell. I received a Joint Bachelors in Computer Science and Mathematics from Scripps College and Harvey Mudd College.

Research

Break It Till You Make It: Limitations of Copyright Liability Under a Pretraining Paradigm of AI Development
Rui-Jie Yew, Dylan Hadfield-Menell
Spotlight -- ICML Workshop on Generative AI and Law, 2023

Measuring the Success of Diffusion Models at Imitating Human Artists
Stephen Casper*, Carl Guo*, Shreya Mogulothu, Chinmay Deshpande, Rui-Jie Yew, Zheng Dai, Dylan Hadfield-Menell
Spotlight -- ICML Workshop on Generative AI and Law, 2023

Policy Paths Toward an Understanding of AI Interfaces: A Case Study on Recommendation Platforms
Rui-Jie Yew*, Taylor Lynn Curtis*, Mackenzie Leake, Chara Podimata*, Dylan Hadfield-Menell*
CHI Designing Technology and Policy Simultaneously Workshop, 2023

The Slippery Slope from DALLE-2 to Deepfake Anarchy
Stephen Casper, Phillip Christoffersen, Rui-Jie Yew
MIT Political Review, 2022

A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems
Rui-Jie Yew, Dylan Hadfield Menell
AAAI/ACM AIES, 2022

Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA
Rui-Jie Yew, Alice Xiang
ACM FAccT, 2022

Ethical Dilemmas in Strategic Games
Pavel Naumov, Rui-Jie Yew
AAAI, 2021

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