Ai Explainability Professors in Global

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Ehsan Mobaraki
Aalborg University Denmark
explainability
explainable artificial intelligence
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Matthias Wilms
University of Michigan United States of America
explainability
interpretability
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Fei Wang
Cornell University Netherlands
explainability
model interpretability
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Fei Wang
Cornell University Netherlands
explainability
model interpretability
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Lili Jiang
Umeå University Sweden
explainable ai
trustworthy ai
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Jing Tian
Pennsylvania State University United States of America
explainable ai
ai fairness
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Simone Stumpf
University of Glasgow United Kingdom
explainable ai
ai fairness
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Mateja Jamnik
University of Cambridge United Kingdom
explainability
automated reasoning
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Amir Rahnama
KTH Royal Institute of Technology Sweden
explainable machine learning
interpretable machine learning
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Zihuai University
Stanford University United States of America
explainable machine learning
interpretable machine learning
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Guang Lin
Purdue University United States of America
interpretable ai
reliable ai
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Michael Guerzhoy
University of Toronto Canada
mechanistic interpretability
interpretable machine learning
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Alan Said
University of Gothenburg Sweden
transparency in ai
sustainability in ai
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Youcheng Sun
University of Manchester United Kingdom
trustworthy ai
automated reasoning
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Caroline Bassett
University of Cambridge United Kingdom
ai explainability
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Xin Tang
University of British Columbia Canada
ai explainability
ai interpretability
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Francesco Leofante
Imperial College London United Kingdom
explainability in ai
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Mikhail Glazunov
Delft University of Technology Netherlands
explainability in ai
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Katrien Verbert
KU Leuven Belgium
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explainable ai
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Aqib Siddiqui
London School of Economics and Political Science United Kingdom
explainable ai
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Dianer Yu
University of New South Wales Australia
explainable ai
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