Bias In Ai Based Learning Systems Professors in Global

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Shamya Karumbaiah
University of Wisconsin–Madison United States of America
bias in ai-based learning systems
human-centered ai
teaching and learning with artificial intelligence
equitable ai in classrooms
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Magnus Bender
Aarhus University Denmark
ai in law
ai in humanities
machine learning
artificial intelligence
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Sindri Magnússon
Stockholm University Sweden
fairness and bias in ai
machine learning
artificial intelligence
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Kalinda Ukanwa
University of Southern California United States of America
algorithmic bias
algorithmic decision-making
artificial intelligence
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Olga Russakovsky
Princeton University United States of America
fairness in ai
transparency in ai
accountability in ai
machine learning
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Dorsa Sadigh
Stanford University United States of America
human-centered ai
machine learning
artificial intelligence
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Alan Said
University of Gothenburg Sweden
fairness in ai
transparency in ai
machine learning
artificial intelligence
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Lei Zhang
University of Regina Canada
artificial neural networks
machine learning
artificial intelligence
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Cara Macnish
University of Western Australia Australia
artificial neural networks
machine learning
artificial intelligence
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Sz-ting Tzeng
Umeå University Sweden
machine learning
socially aware ai
artificial intelligence
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Tom York
Imperial College London United Kingdom
machine learning
algorithmic decision-making
artificial intelligence
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Dokyun Lee
Boston University United States of America
machine learning
human-ai interaction
ai reliability
artificial intelligence
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Ahmed Ashraf
University of Manitoba Canada
machine learning
ai power systems
artificial intelligence
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Ambuj Tewari
University of Michigan United States of America
machine learning
theory of machine learning
artificial intelligence
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Yarin Gal
University of Oxford United Kingdom
deep probabilistic ai
machine learning
bayesian deep learning
artificial intelligence
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Rohitash Chandra
University of New South Wales Australia
machine learning
bayesian deep learning
artificial intelligence
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Nick Kadochnikov
University of Chicago United States of America
ai in finance
machine learning
ai in legal technology
artificial intelligence
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Katarzyna Wac
University of Geneva Switzerland
bias in ai
machine learning
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Alba Olivares Nadal
University of New South Wales Australia
bias in ai
artificial intelligence
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Eva Vanmassenhove
Tilburg University Netherlands
algorithmic bias
gender bias
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Sandra Wachter
University of Oxford United Kingdom
algorithmic bias
machine learning
ai ethics
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