Explainability Professors in Global

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Matthias Wilms
University of Michigan United States of America
explainability
interpretability
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Ehsan Mobaraki
Aalborg University Denmark
explainability
explainable artificial intelligence
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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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Mateja Jamnik
University of Cambridge United Kingdom
explainability
diagrammatic reasoning
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Percy Liang
Stanford University United States of America
interpretability
reasoning
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Leopoldo Bertossi
Carleton University Canada
explainable artificial intelligence
reasoning
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T. Rienstra
Maastricht University Netherlands
explainable ai
reasoning
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Hana Chockler
King's College London United Kingdom
explainable ai
causal 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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Frederick Britt
University of Bern Switzerland
justification
explanations
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G. Bennett
Texas A&M University United States of America
reliability
maintainability
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Charles Kemp
University of Melbourne Australia
reasoning
causal reasoning
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Zhijing Jin
University of Toronto Canada
mechanistic interpretability
causal reasoning
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Michael Power
London School of Economics United Kingdom
auditability
accountability
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Nina Poth
Radboud University Netherlands
reasoning
rationality
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Shanelle Foster
Michigan State University United States of America
reliability
manufacturability
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Michael Guerzhoy
University of Toronto Canada
mechanistic interpretability
interpretable machine learning
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Tim French
University of Western Australia Australia
reasoning
probabilistic reasoning
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Rania Al-hammoud
University of Waterloo Canada
reliability
durability
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