Fairness In Algorithmic Decision Making Professors in Global

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Aaron Roth
University of Pennsylvania United States of America
fairness in machine learning
algorithmic fairness
ethical algorithms
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Gjergji Kasneci
Technical University of Munich Germany
fairness in machine learning
algorithm transparency
algorithm robustness
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Siavash Arjomand Bigdeli
Technical University of Denmark Denmark
algorithmic fairness
bias fairness
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Anh Luong
Warwick Business School United Kingdom
fairness in algorithmic decision-making
algorithmic bias
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Alan Tsang
Carleton University Canada
algorithmic fairness
fair allocation
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Masoud Mansoury
Delft University of Technology Netherlands
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algorithmic fairness
algorithmic bias
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Nisarg Shah
University of Toronto Canada
algorithmic fairness
fair division
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Ben Green
University of Michigan United States of America
algorithmic fairness
ethics of algorithms
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Aleksandra Korolova
Princeton University United States of America
fairness in ai
algorithmic discrimination
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Crystal Yang
Harvard Law School United States of America
algorithmic fairness
human oversight in algorithms
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Changjian Shui
University of Ottawa Canada
fairness and equity in machine learning
ethics in artificial intelligence
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Alan Said
University of Gothenburg Sweden
fairness in ai
transparency in ai
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Swati Gupta
Georgia Institute of Technology United States of America
fairness in decision making
bias in decision making
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Ahsan Ashraf
Brown University United States of America
fairness in online recommender systems
algorithmic bias
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Olga Russakovsky
Princeton University United States of America
fairness in ai
transparency in ai
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Galina Andreeva
University of Edinburgh United Kingdom
fairness
algorithmic bias
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Nour Ghadban
University of Glasgow United Kingdom
fairness-aware machine learning
ai healthcare equity
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Brent Mittelstadt
University of Oxford United Kingdom
fairness
transparency in machine learning
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Sandra Wachter
University of Oxford United Kingdom
diversity and fairness
algorithmic bias
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Iadh Ounis
University of Glasgow United Kingdom
fairness
transparency in information retrieval and recommender systems
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Kalinda Ukanwa
University of Southern California United States of America
algorithmic decision-making
algorithmic bias
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