Ai Evaluations Professors in Global

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Mark Crowley
University of Waterloo Canada
ai science
ai video games
artificial intelligence
machine learning
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Dokyun Lee
Boston University United States of America
ai reliability
human-ai interaction
artificial intelligence
machine learning
generative ai
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Penny Kyburz
Australian National University Australia
human-ai interaction
artificial intelligence
machine learning
human-ai teaming
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Samuel Brasil
Harvard University United States of America
ai alignment
ethical ai
artificial intelligence
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Michael Rovatsos
University of Edinburgh United Kingdom
game-theoretic ai
ethical ai
human-friendly ai
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Dorsa Sadigh
Stanford University United States of America
human-centered ai
artificial intelligence
machine learning
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Gokhan Tur
University of Illinois United States of America
model evaluation
artificial intelligence
machine learning
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Hao-wen Dong
University of Michigan United States of America
human-centered ai
machine learning
generative ai
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Niki Kilbertus
Technical University of Munich Germany
automated decision-making
ethics in ai
machine learning
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Marzia Hoque Tania
University of New South Wales Australia
ethical ai
artificial intelligence
machine learning
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Yali Du
King's College London United Kingdom
ethics in ai
human-ai interaction
artificial intelligence
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Magnus Bender
Aarhus University Denmark
ai in law
artificial intelligence
machine learning
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Zahra Saraeian
University of Melbourne Australia
ethics in ai
artificial intelligence
machine learning
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Catholijn Jonker
Leiden University Netherlands
human-ai interaction
artificial intelligence
ai ethics
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Sindri Magnússon
Stockholm University Sweden
fairness and bias in ai
artificial intelligence
machine learning
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Devansh Saxena
University of Wisconsin–Madison United States of America
human-ai interaction
artificial intelligence
machine learning
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Daniel Khashabi
Johns Hopkins University United States of America
human-ai interaction
artificial intelligence
machine learning
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Seunga Jin
Northwestern University Qatar Qatar
human-ai interaction
artificial intelligence
machine learning
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Yarin Gal
University of Oxford United Kingdom
artificial intelligence
deep probabilistic ai
machine learning
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Aylin Caliskan
University of Washington United States of America
artificial intelligence
ai ethics
machine learning
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Yu-ting Kuo
Massachusetts Institute of Technology United States of America
artificial intelligence
ai ethics
machine learning
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