Algorithmic Accountability Professors in Global

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Mohammad Salavatipour
University of Alberta Canada
algorithmics
algorithmic graph theory
probabilistic randomized algorithms
approximation algorithms
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Moez Ali
Queen's University Canada
responsible ai
automated machine learning
artificial intelligence
automated modeling
machine learning
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Cara Macnish
University of Western Australia Australia
artificial neural networks
artificial intelligence
evolutionary algorithms
machine learning
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Oana Cocarascu
King's College London United Kingdom
artificial intelligence
explainable ai
machine learning
argument mining
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Aditya Potukuchi
York University Canada
algorithmic counting
algorithmic sampling
algorithms
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Jon Kleinberg
Cornell University Netherlands
algorithmic fairness
algorithms
machine learning
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Devansh Saxena
University of Wisconsin–Madison United States of America
accountability
artificial intelligence
machine learning
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Hong Shen
Carnegie Mellon University United States of America
algorithmic systems
artificial intelligence
machine learning
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Toniann Pitassi
Columbia University United States of America
algorithmic fairness
artificial intelligence
machine learning
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Arvind Narayanan
Harvard University United States of America
algorithmic fairness
artificial intelligence
machine learning
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Tibor Varga
University of Copenhagen Denmark
algorithmic fairness
artificial intelligence
machine learning
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Ariel Procaccia
Harvard John Paulson School of Engineering and Applied Sciences United States of America
algorithmic fairness
artificial intelligence
machine learning
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Elliot Creager
University of Waterloo Canada
algorithmic fairness
artificial intelligence
machine learning
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Richard Zemel
Columbia University United States of America
algorithmic fairness
artificial intelligence
machine learning
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Sille Søe
University of Copenhagen Denmark
algorithms
automated decision-making
artificial intelligence
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Avrim Blum
Toyota Technological Institute Chicago United States of America
algorithmic fairness
algorithmic game theory
online algorithms
machine learning
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Fabian Krause
RWTH Aachen University Germany
algorithmic information theory
artificial intelligence
machine learning
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Chris Russell
University of Oxford United Kingdom
algorithmic fairness
explainable ai
machine learning
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Iadine Chades
Monash University Australia
responsible ai
artificial intelligence
explainable ai
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Yousif Hassan
University of Michigan United States of America
responsible ai
artificial intelligence
machine learning
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Matthew Lease
University of Texas at Austin United States of America
responsible ai
artificial intelligence
fair explainable ai
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