Explainability In Ai Professors in Global

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Francesco Leofante
Imperial College London United Kingdom
explainability in ai
ai alignment
ai decision making
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Mateja Jamnik
University of Cambridge United Kingdom
explainability
automated reasoning
diagrammatic reasoning
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Ehsan Mobaraki
Aalborg University Denmark
explainable artificial intelligence
explainability
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Caroline Bassett
University of Cambridge United Kingdom
ai explainability
ai writing
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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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Mohammad Sabet Jahromi
Aalborg University Denmark
explainable ai
responsible ai
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Cristian Tejedor Garcia
Radboud University Netherlands
explainable ai
responsible ai
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Francesco Sovrano
Università della Svizzera italiana Switzerland
explainable ai
responsible ai
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Iadine Chades
Monash University Australia
explainable ai
responsible ai
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Nikola Banovic
University of Michigan United States of America
explainable ai
responsible ai
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Aqib Siddiqui
London School of Economics and Political Science United Kingdom
explainable ai
algorithmic transparency
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Aqib Siddiqui
London School of Economics and Political Science United Kingdom
explainable ai
algorithmic transparency
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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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Annemarie Borg
Utrecht University Netherlands
explainable artificial intelligence
responsible ai
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Anna Korhonen
University of Cambridge United Kingdom
explainability
conversational ai
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Guang Lin
Purdue University United States of America
interpretable ai
reliable ai
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Cecilia Ying
Purdue University United States of America
model explainability
biases in ai
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