You Still See Me: How Data Protection Supports the Architecture of AI Surveillance
Rui-Jie Yew,
Lucy Qin,
Suresh Venkatasubramanian
Forthcoming at the ACM/AAAI Conference on AI, Ethics, and Society, 2024 **Oral**
A version of this work was presented at the Privacy Law Scholars Conference, 2024
NeurIPS Workshop on Regulatable ML, 2023
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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)
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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
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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**
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A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems
Rui-Jie Yew,
Dylan Hadfield Menell
AAAI/ACM AIES, 2022
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Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA
Rui-Jie Yew,
Alice Xiang
ACM FAccT, 2022
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Ethical Dilemmas in Strategic Games
Pavel Naumov,
Rui-Jie Yew
AAAI, 2021
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