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Interpretable Ai
Interpretable Ai Professors in Global
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Professor
Il-min Kim
Queen's University
Canada
agentic ai
generative ai
responsible ai
ai alignment
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Professor
Guang Lin
Purdue University
United States of America
interpretable ai
reliable ai
robust ai
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Professor
Yan Leng
University of Texas at Austin
United States of America
interpretable machine learning
human-centric interpretability
generative ai
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Professor
Matthias Wilms
University of Michigan
United States of America
interpretability
explainability
generative ai
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Professor
Francesco Leofante
Imperial College London
United Kingdom
explainability in ai
ai alignment
ai decision making
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Professor
Zhengzhong Tu
Texas A&M University
United States of America
trustworthy ai
embodied ai
multimodal ai
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Professor
Xin Tang
University of British Columbia
Canada
ai interpretability
ai explainability
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Professor
Kerstin Bunte
University of Groningen
Netherlands
explainable ai
interpretable models
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Professor
Amir Rahnama
KTH Royal Institute of Technology
Sweden
interpretable machine learning
explainable machine learning
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Professor
Zihuai University
Stanford University
United States of America
interpretable machine learning
explainable machine learning
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Professor
Michael Guerzhoy
University of Toronto
Canada
interpretable machine learning
mechanistic interpretability
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Professor
Lili Jiang
Umeå University
Sweden
explainable ai
trustworthy ai
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Professor
Mohammad Sabet Jahromi
Aalborg University
Denmark
explainable ai
responsible ai
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Professor
Cristian Tejedor Garcia
Radboud University
Netherlands
explainable ai
responsible ai
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Professor
Guang Yang
Imperial College London
United Kingdom
explainable ai
generative ai
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Professor
Lyle Ungar
University of Pennsylvania
United States of America
explainable ai
socio-emotionally sensitive ai
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Professor
Daniel De Leng
Linköping University
Sweden
explainable ai
symbolic ai
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Professor
Iadine Chades
Monash University
Australia
explainable ai
responsible ai
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Professor
Nikola Banovic
University of Michigan
United States of America
explainable ai
responsible ai
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Professor
Francesco Sovrano
Università della Svizzera italiana
Switzerland
explainable ai
responsible ai
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Professor
Garrett Morris
University of Oxford
United Kingdom
explainable ai
generative ai
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