Rui-Jie Yew

I am a CS PhD candidate at Brown University, where I am advised by Suresh Venkatasubramanian at the Center for Technological Responsibility, Reimagination, and Redesign (CNTR). I conduct research on AI policy, with a focus on regulatory incentives and their technological effects. You can contact me at ryew [at] cs.brown.edu. You can find my CV here.

Before Brown, I earned an S.M. in Technology and Policy at MIT, where I worked with Dylan Hadfield-Menell in the Algorithmic Alignment Group at MIT CSAIL.

I also have experience in privacy engineering at Google, AI risk management at the National Institute of Standards and Technology, research mentorship as part of the exploreCSR program, and seminar-organizing for the CNTR Seminar on Technology and Society (fall 2024) and the MIT AI Policy group (fall 2022).

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Research
Anti-Regulatory AI
Rui-Jie Yew, Brian Judge
Forthcoming at ACM EAAMO, 2025
Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Act
Rui-Jie Yew*, Bill Marino*, Suresh Venkatasubramanian
ACM FAccT, 2025
Copyrighting Generative AI Co-Creations
Jeff Huang, Rui-Jie Yew, Suresh Venkatasubramanian
ACM DIS, 2025 **Best Paper Award**
You Still See Me: How Data Protection Supports the Architecture of AI Surveillance
Rui-Jie Yew, Lucy Qin, Suresh Venkatasubramanian
ACM/AAAI AIES, 2024 **Best Student Paper Runner-Up Award**
A version of this work was presented at the Privacy Law Scholars Conference, 2024
NeurIPS Workshop on Regulatable ML, 2023
Break It 'Til You Make It: An Exploration of the Ramifications of Copyright Liability Under a Pretraining Paradigm of AI Development
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)
Where did you learn that?: Tracing the Impact of Training Data with Diffusion Model Ensembles
Zheng Dai, Rui-Jie Yew, David K. Gifford
NeurIPS Workshop on Regulatable ML, 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
ICML Workshop on Generative AI and Law, 2023 **Spotlight Presentation**
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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