Fair Explainable Ai Professors in Global

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Il-min Kim
Queen's University Canada
responsible ai
generative ai
universal equity ai
safe generative ai
ai alignment
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Daniel De Leng
Linköping University Sweden
explainable ai
symbolic ai
human-centered ai
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Olga Russakovsky
Princeton University United States of America
fairness in ai
transparency in ai
accountability in ai
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Alan Said
University of Gothenburg Sweden
fairness in ai
transparency in ai
sustainability in ai
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Ricardo Usbeck
Leuphana University Lüneburg Germany
trustworthy ai
ethical ai
fair data
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Angelina Wang
Cornell University Netherlands
algorithmic fairness
responsible ai
ai auditing and accountability
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Samuel Brasil
Harvard University United States of America
algorithmic fairness
ethical ai
ai alignment
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Siavash Arjomand Bigdeli
Technical University of Denmark Denmark
algorithmic fairness
responsible ai
bias fairness
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Martim Brandão
King's College London United Kingdom
explainability
responsible artificial intelligence
fairness
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Laleh Seyyed-kalantari
York University Canada
responsible ai
generative ai
fairness
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Matthew Lease
University of Texas at Austin United States of America
fair explainable ai
responsible 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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Lili Jiang
Umeå University Sweden
explainable ai
trustworthy ai
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Chris Russell
University of Oxford United Kingdom
explainable ai
algorithmic fairness
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Iadine Chades
Monash University Australia
explainable ai
responsible ai
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Ehsan Mobaraki
Aalborg University Denmark
explainable artificial intelligence
explainability
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Cristian Tejedor Garcia
Radboud University Netherlands
explainable ai
responsible ai
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Xin Tang
University of British Columbia Canada
ai explainability
ai interpretability
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Francesco Sovrano
Università della Svizzera italiana Switzerland
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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