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I am a CS PhD candidate at Brown University, where I am advised by Suresh Venkatasubramanian. I am also affiliated with the Center for Technological Responsibility (CNTR). My research focuses on data regulation and ML liability. I am currently visiting UC Berkeley EECS within the Center for Human-Compatible Artificial Intelligence, where I am advised by Brian Judge. Previously, I graduated from MIT CSAIL with an S.M. in Technology and Policy advised by Dylan Hadfield-Menell. At MIT, I also had the great fortune to be advised by the late Lawrence McCray. |
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Rui-Jie Yew, Lucy Qin, Suresh Venkatasubramanian Forthcoming at the ACM/AAAI Conference on AI, Ethics, and Society , 2024 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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