Bias In Ai Based Learning Systems Professors in Global

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Wm. Kennedy
University of Oxford United Kingdom
ai evaluations
ai education
ai foresight
artificial intelligence
interdisciplinary ai
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Nick Kadochnikov
University of Chicago United States of America
ai in finance
machine learning
ai in legal technology
artificial intelligence
generative ai
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Dokyun Lee
Boston University United States of America
machine learning
human-ai interaction
ai reliability
artificial intelligence
generative ai
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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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Olga Russakovsky
Princeton University United States of America
fairness in ai
transparency in ai
accountability in ai
machine learning
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Il-min Kim
Queen's University Canada
ai alignment
ai physical systems
geoscience ai
generative ai
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Alan Said
University of Gothenburg Sweden
fairness in ai
transparency in ai
machine learning
artificial intelligence
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Magnus Bender
Aarhus University Denmark
ai in law
ai in humanities
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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Sandra Wachter
University of Oxford United Kingdom
algorithmic bias
machine learning
ai ethics
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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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Sandra Wachter
University of Oxford United Kingdom
algorithmic bias
artificial intelligence
generative ai
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Sindri Magnússon
Stockholm University Sweden
fairness and bias in ai
machine learning
artificial intelligence
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Tatjana Titareva
Umeå University Sweden
ai education
ai policy
ai literacy
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Francesco Leofante
Imperial College London United Kingdom
ai decision making
ai alignment
artificial intelligence
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Felix Fritsch
Michigan State University United States of America
decision-making biases
machine learning
artificial intelligence
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Katarina Sperling
Linköping University Sweden
ai education
ai literacy
artificial intelligence
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Renee Gosline
Massachusetts Institute of Technology United States of America
cognitive bias
human-first ai
artificial intelligence
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Leqi Liu
University of Texas at Austin United States of America
ai systems evaluation
machine learning
generative ai
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Young Cho
University of Southern California United States of America
ai-augmented education systems
machine learning
artificial intelligence
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Aleksandra Korolova
Princeton University United States of America
fairness in ai
algorithmic discrimination
generative ai
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