基本信息
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个人简介
My research focuses on aligning machine learning, law, and policy for responsible real-world deployments. This involves two major tracks. First, I develop new machine learning methods that are useful for real world partnerships for public good. For example, we partnered with the Internal Revenue Service to better understand and improve algorithms involved in their tax administration programs, making them more efficient, legally-complaint, and equitable. Second, I develop both technical and regulatory approaches to ensure that AI is used for the benefit of all in a safe and responsible manner. This includes work on AI safety, but also core work on legal doctrine and policy. Some of my work has received coverage by TechCrunch, Science, New York Times, The Wall Street Journal, Bloomberg, and more.
研究兴趣
论文共 66 篇作者统计合作学者相似作者
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Sayash Kapoor,Rishi Bommasani, Kevin Klyman,Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen Hopkins, Kevin Bankston,Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler,
CoRR (2024)
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Joel Niklaus,Lucia Zheng, Arya D. McCarthy, Christopher Hahn, Brian M. Rosen,Peter Henderson,Daniel E. Ho, Garrett Honke,Percy Liang,Christopher Manning
arxiv(2024)
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Boyi Wei,Kaixuan Huang,Yangsibo Huang,Tinghao Xie,Xiangyu Qi,Mengzhou Xia,Prateek Mittal, Mengdi Wang,Peter Henderson
CoRR (2024)
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Symposium on Computer Science and Lawpp.109-120, (2024)
SSRN Electronic Journal (2024)
Shayne Longpre,Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami,Rishi Bommasani,Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng-Xin Yong, Suhas Kotha,Yi Zeng,Weiyan Shi,
CoRR (2024)
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arxiv(2024)
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CoRR (2023)
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