Fairness In Aiml Systems Professors in Global

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Aaron Roth
University of Pennsylvania United States of America
fairness in machine learning
algorithmic fairness
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Siavash Arjomand Bigdeli
Technical University of Denmark Denmark
algorithmic fairness
bias fairness
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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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Alan Tsang
Carleton University Canada
algorithmic fairness
fair allocation
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Mark Yatskar
University of Pennsylvania United States of America
fairness in ai
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Mark Yatskar
University of Pennsylvania United States of America
fairness in ai
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Debmalya Mandal
University of Warwick United Kingdom
fairness in ai
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Min Lee
University of Texas at Austin United States of America
fairness in ai
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Aleksandra Korolova
Princeton University United States of America
fairness in ai
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Angelina Wang
Cornell Tech United States of America
fairness in ai
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Richard Zemel
University of Toronto Canada
fairness in ai
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Morteza Zihayat
Toronto Metropolitan University Canada
fairness in ai
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Jing Tian
Pennsylvania State University United States of America
ai fairness
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Simone Stumpf
University of Glasgow United Kingdom
ai fairness
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Derek Leben
Carnegie Mellon University United States of America
ai fairness
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Elaheh Fata
Queen's University Canada
fairness in machine learning
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Gjergji Kasneci
Technical University of Munich Germany
fairness in machine learning
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Aaron Roth
University of Pennsylvania United States of America
fairness in machine learning
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Giulia Toti
University of British Columbia Canada
fairness in machine learning
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Richard Zemel
University of Toronto Canada
fairness in machine learning
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