Fairness Aware Machine Learning Professors in Global

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Gjergji Kasneci
Technical University of Munich Germany
fairness in machine learning
machine learning
algorithm transparency
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Nisarg Shah
University of Toronto Canada
algorithmic fairness
machine learning
fair division
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Alan Said
University of Gothenburg Sweden
fairness in ai
machine learning
transparency in ai
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Olga Russakovsky
Princeton University United States of America
fairness in ai
machine learning
transparency in ai
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Sandra Wachter
University of Oxford United Kingdom
machine learning
algorithmic bias
diversity and fairness
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Ahsan Ashraf
Brown University United States of America
machine learning
fairness in online recommender systems
algorithmic bias
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Sophia Wilson
University of Copenhagen Denmark
machine learning
data efficient machine learning
resource efficient 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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Shai Ben-david
University of Waterloo 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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Aaron Roth
University of Pennsylvania United States of America
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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Richard Zemel
University of Toronto Canada
fairness in machine learning
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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Ariel Procaccia
Harvard John Paulson School of Engineering and Applied Sciences United States of America
algorithmic fairness
machine learning
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Dan Kowal
Cornell Bowers University United States of America
algorithmic fairness
machine learning
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Viktoriia Sharmanska
Imperial College London United Kingdom
algorithmic fairness
machine learning
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