Ai And Automated Decision Making Professors in Global

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Nick Kadochnikov
University of Chicago United States of America
ai in finance
artificial intelligence
ai in healthcare
ai in legal technology
generative ai
machine learning
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Ifeoma Ajunwa
Harvard University United States of America
ai and employment
ai in business
ai and society
ai governance
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Wm. Kennedy
University of Oxford United Kingdom
ai evaluations
ai foresight
artificial intelligence
ai education
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Holger Hoos
RWTH Aachen University Germany
automated machine learning
artificial intelligence
automated reasoning
machine learning
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Haifeng Xu
University of Chicago United States of America
artificial intelligence
data-driven decision making
generative ai
machine learning
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Moez Ali
Queen's University Canada
automated machine learning
artificial intelligence
automated modeling
machine learning
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Sindri Magnússon
Stockholm University Sweden
artificial intelligence
fairness and bias in ai
data-driven decision making
machine learning
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Devansh Saxena
University of Wisconsin–Madison United States of America
decision-making
artificial intelligence
human-ai interaction
machine learning
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Magnus Bender
Aarhus University Denmark
ai in law
artificial intelligence
machine learning
ai in humanities
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Dokyun Lee
Boston University United States of America
artificial intelligence
generative ai
human-ai interaction
machine learning
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Seunga Jin
Northwestern University Qatar Qatar
artificial intelligence
ai-driven digital transformation
human-ai interaction
machine learning
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Penny Kyburz
Australian National University Australia
artificial intelligence
human-ai interaction
machine learning
human-ai teaming
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Willie Neiswanger
University of Southern California United States of America
ai-for-science
decision making
generative ai
machine learning
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Edward Sykes
University of Guelph Canada
artificial intelligence
generative ai
ai in health
machine learning
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Francesco Leofante
Imperial College London United Kingdom
ai decision making
artificial intelligence
ai alignment
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Adelle Yang
University of Toronto Canada
algorithmic decision-making
decision-making
artificial intelligence
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Tom York
Imperial College London United Kingdom
algorithmic decision-making
artificial intelligence
machine learning
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Hyesun Choung
Purdue University United States of America
algorithmic decision-making
artificial intelligence
human-ai collaboration
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Shamya Karumbaiah
University of Wisconsin–Madison United States of America
human-centered ai
bias in ai-based learning systems
teaching and learning with artificial intelligence
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Tianyi Peng
Columbia University United States of America
decision-making
artificial intelligence
ai reinforcement learning
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Yarin Gal
University of Oxford United Kingdom
deep probabilistic ai
artificial intelligence
machine learning
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