Machine Learning Fairness Professors in Global

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Gjergji Kasneci
Technical University of Munich Germany
fairness in machine learning
algorithm transparency
machine learning
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Nisarg Shah
University of Toronto Canada
algorithmic fairness
fair division
machine learning
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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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Elaheh Fata
Queen's University Canada
fairness in machine learning
machine learning
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Aaron Roth
University of Pennsylvania United States of America
fairness in machine learning
machine learning
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Richard Zemel
University of Toronto Canada
fairness in machine learning
machine learning
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Arvind Narayanan
Princeton University United States of America
fairness in machine learning
machine learning
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Seth Neel
Harvard University United States of America
fairness in machine learning
machine learning
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Shai Ben-david
University of Waterloo Canada
fairness in machine learning
machine learning
reliability in machine learning
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Aaron Roth
University of Pennsylvania United States of America
fairness in machine learning
machine learning
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Alan Tsang
Carleton University Canada
algorithmic fairness
fair allocation
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Brent Mittelstadt
University of Oxford United Kingdom
fairness
transparency in machine learning
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Toniann Pitassi
Columbia University United States of America
algorithmic fairness
machine learning
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Zihao Fu
University of Cambridge United Kingdom
algorithmic fairness
machine learning
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Arya Farahi
University of Texas at Austin United States of America
algorithmic fairness
machine learning
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Chris Russell
University of Oxford United Kingdom
algorithmic fairness
machine learning
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Viktoriia Sharmanska
Imperial College London United Kingdom
algorithmic fairness
machine learning
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Anoop Kadan
University of Southampton United Kingdom
algorithmic fairness
machine learning
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Arvind Narayanan
Harvard University United States of America
algorithmic fairness
machine learning
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Jochen Hartmann
Technical University of Munich Germany
algorithmic fairness
machine learning
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