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个人简介
My research is focused on deep learning, AI safety and alignment, and more specifically, with understanding how to communicate or “specify” what behavior is desired. I’m pursuing the three research directions I view as most promising in this area:
Learning what humans want from human feedback (e.g. via reward modelling).
Managing the incentives an AI system has to influence the world (e.g. to prevent user manipulation in content recommendation systems).
Getting deep nets to understand the world the same way people do (e.g. so that they can solve out-of-distribution generalization problems).
Learning what humans want from human feedback (e.g. via reward modelling).
Managing the incentives an AI system has to influence the world (e.g. to prevent user manipulation in content recommendation systems).
Getting deep nets to understand the world the same way people do (e.g. so that they can solve out-of-distribution generalization problems).
研究兴趣
论文共 58 篇作者统计合作学者相似作者
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Yoshua Bengio,Geoffrey Hinton, Andrew Yao,Dawn Song,Pieter Abbeel,Trevor Darrell, Yuval Noah Harari,Ya-Qin Zhang, Lan Xue,Shai Shalev-Shwartz,Gillian Hadfield,Jeff Clune,
Science (New York, N.Y.)no. 6698 (2024): 842-845
SSRN Electronic Journal (2024)
arxiv(2024)
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arxiv(2024)
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arxiv(2024)
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Stephen Casper, Carson Ezell, Charlotte Siegmann,Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall,Andreas Haupt, Kevin Wei,Jérémy Scheurer, Marius Hobbhahn,Lee Sharkey,Satyapriya Krishna,
CoRR (2024): 2254-2272
CoRR (2024)
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Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei,Lewis Hammond,Herbie Bradley,Emma Bluemke,Nitarshan Rajkumar,David Krueger,Noam Kolt,Lennart Heim,Markus Anderljung
CoRR (2024): 958-973
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