Explainable Ai Professors in Global

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Guang Lin
Purdue University United States of America
interpretable ai
reliable ai
physics-informed ai
robust ai
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Francesco Leofante
Imperial College London United Kingdom
explainability in ai
ai decision making
artificial intelligence
ai alignment
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Mateja Jamnik
University of Cambridge United Kingdom
explainability
automated reasoning
diagrammatic reasoning
artificial intelligence
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Daniel De Leng
Linköping University Sweden
explainable ai
symbolic ai
human-centered ai
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Sandra Wachter
University of Oxford United Kingdom
explainable ai
generative ai
artificial intelligence
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Guang Yang
Imperial College London United Kingdom
explainable ai
generative ai
artificial intelligence
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Cristian Tejedor Garcia
Radboud University Netherlands
explainable ai
responsible ai
data-centric ai
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Iadine Chades
Monash University Australia
explainable ai
responsible ai
artificial intelligence
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Saeed Anwar
University of Western Australia Australia
explainable artificial intelligence
generative ai
artificial intelligence
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Leopoldo Bertossi
Carleton University Canada
explainable artificial intelligence
reasoning
artificial intelligence
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Matthias Wilms
University of Michigan United States of America
explainability
generative ai
interpretability
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Il-min Kim
Queen's University Canada
generative ai
responsible ai
ai alignment
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Steven Whang
Korea Advanced Institute of Science and Technology South Korea
trustworthy ai
responsible ai
data-centric ai
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Mateja Jamnik
University of Cambridge United Kingdom
automated reasoning
diagrammatic reasoning
artificial intelligence
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Zhijing Jin
University of Toronto Canada
responsible ai
mechanistic interpretability
causal reasoning
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Tim French
University of Western Australia Australia
automated reasoning
reasoning
artificial intelligence
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Jan Broersen
Utrecht University Netherlands
responsible ai
reasoning
artificial intelligence
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Zhengzhong Tu
Texas A&M University United States of America
trustworthy ai
artificial intelligence
embodied ai
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Moez Ali
Queen's University Canada
responsible ai
artificial intelligence
model interpretability
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Wm. Kennedy
University of Oxford United Kingdom
interdisciplinary ai
ai evaluations
artificial intelligence
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Samuel Brasil
Harvard University United States of America
ethical ai
artificial intelligence
ai alignment
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