基本信息
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职业迁徙
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 47 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, Yuval Noah Harari,Ya-Qin Zhang, Lan Xue,Shai Shalev-Shwartz,Gillian Hadfield,Jeff Clune,Tegan Maharaj,
CoRR (2023)
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PROCEEDINGS OF 2023 ACM CONFERENCE ON EQUITY AND ACCESS IN ALGORITHMS, MECHANISMS, AND OPTIMIZATION, EAAMO 2023 (2023): 1-13
arxiv(2023)
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arxiv(2023)
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Stephen Casper,Xander Davies,Claudia Shi, Thomas Krendl Gilbert,Jérémy Scheurer,Javier Rando,Rachel Freedman,Tomasz Korbak,David Lindner,Pedro Freire,Tony Wang, Samuel Marks,
CoRR (2023)
引用149浏览0EI引用
149
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ICLR 2024 (2023)
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