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I am a CS PhD candidate at Brown University, where I am fortunate to be advised by Suresh Venkatasubramanian at the Center for Technological Responsibility, Reimagination, and Redesign (CNTR). I do research at the intersection of computer science and law, with a focus on data policies for AI and the algorithmic implication of regulations. You can find my CV here. In 2024, I started the CNTR Tech and Society Seminar. I am also a proud member of the Brown GWiCS+ community. |
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Rui-Jie Yew*, Bill Marino*, Suresh Venkatasubramanian Forthcoming at ACM FAccT, 2025 |
Jeff Huang, Rui-Jie Yew, Suresh Venkatasubramanian Forthcoming at ACM DIS, 2025 |
Rui-Jie Yew, Lucy Qin, Suresh Venkatasubramanian ACM/AAAI AIES, 2024 **Best Student Paper Runner-Up** A version of this work was presented at the Privacy Law Scholars Conference, 2024 NeurIPS Workshop on Regulatable ML, 2023 |
Rui-Jie Yew ACM Symposium on Computer Science and Law, 2024 Poster at WeRobot, 2023 A version of this work appeared at the ICML Workshop on Generative AI and Law, 2023 **Spotlight Presentation** (with Dylan Hadfield-Menell) |
Zheng Dai, Rui-Jie Yew, David K. Gifford NeurIPS Workshop on Regulatable ML, 2023 |
Stephen Casper*, Carl Guo*, Shreya Mogulothu, Chinmay Deshpande, Rui-Jie Yew, Zheng Dai, Dylan Hadfield-Menell ICML Workshop on Generative AI and Law, 2023 **Spotlight Presentation** |
Rui-Jie Yew, Dylan Hadfield Menell AAAI/ACM AIES, 2022 |
Rui-Jie Yew, Alice Xiang ACM FAccT, 2022 |
Pavel Naumov, Rui-Jie Yew AAAI, 2021 |
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