Fair Ai Professors in Global

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Guang Lin
Purdue University United States of America
fair ai
reliable ai
physics-informed ai
robust ai
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Il-min Kim
Queen's University Canada
safe ai
agentic ai
universal equity ai
ai alignment
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Wm. Kennedy
University of Oxford United Kingdom
ai human rights
ai education
ai foresight
interdisciplinary ai
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Samuel Brasil
Harvard University United States of America
algorithmic fairness
ethical ai
agentic ai
ai alignment
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Ricardo Usbeck
Leuphana University Lüneburg Germany
fair data
ethical ai
trustworthy ai
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Gillian Hadfield
Johns Hopkins University United States of America
cooperative ai
ai governance
ai alignment
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Jing Tian
Pennsylvania State University United States of America
ai fairness
ai innovation
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Alan Said
University of Gothenburg Sweden
fairness in ai
transparency in ai
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Olga Russakovsky
Princeton University United States of America
fairness in ai
transparency in ai
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Paola Ricaurte
Harvard University United States of America
feminist ai
human rights and ai
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Siavash Arjomand Bigdeli
Technical University of Denmark Denmark
algorithmic fairness
bias fairness
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Nisarg Shah
University of Toronto Canada
algorithmic fairness
fair division
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Rob Procter
University of Warwick United Kingdom
ethical ai
trustworthy ai
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Aaron Roth
University of Pennsylvania United States of America
algorithmic fairness
fairness in machine learning
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Laleh Seyyed-kalantari
York University Canada
fairness
ai safety
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Alan Tsang
Carleton University Canada
algorithmic fairness
fair allocation
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Laleh Seyyed-kalantari
York University Canada
fairness
ai safety
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Michael Rovatsos
University of Edinburgh United Kingdom
ethical ai
human-friendly ai
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Jacco Van Ossenbruggen
Vrije Universiteit Amsterdam Netherlands
civic ai
fair research infrastructures
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Tatjana Titareva
Umeå University Sweden
ai policy
ai education
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Isar Nejadgholi
University of Ottawa Canada
fairness
ai systems
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