Fairness In Ai Professors in Global

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Wm. Kennedy
University of Oxford United Kingdom
ai foresight
ai human rights
ai evaluations
ai education
interdisciplinary ai
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Francesco Leofante
Imperial College London United Kingdom
ai alignment
safety in ai
ai decision making
explainability in ai
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Ifeoma Ajunwa
Harvard University United States of America
ai in business
ai and employment
ai and society
ai governance
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Olga Russakovsky
Princeton University United States of America
fairness in ai
transparency in ai
accountability in ai
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Alan Said
University of Gothenburg Sweden
fairness in ai
transparency in ai
sustainability in ai
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Samuel Brasil
Harvard University United States of America
algorithmic fairness
ai alignment
ethical ai
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Jing Tian
Pennsylvania State University United States of America
ai fairness
ai innovation
ai-augmented systems
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Shamya Karumbaiah
University of Wisconsin–Madison United States of America
equitable ai in classrooms
bias in ai-based learning systems
human-centered ai
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Il-min Kim
Queen's University Canada
ai alignment
universal equity ai
geoscience ai
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Daniel Schiff
Purdue University United States of America
ai ethics
ai policy
social responsibility in ai
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Ricardo Usbeck
Leuphana University Lüneburg Germany
fair data
ethical ai
trustworthy ai
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Gillian Hadfield
Johns Hopkins University United States of America
ai alignment
ai governance
cooperative ai
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Nick Kadochnikov
University of Chicago United States of America
ai in finance
ai in legal technology
ai in healthcare
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Yue Zhao
University of Southern California United States of America
safety in ai
ai in healthcare
ai and climate modeling
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Tatjana Titareva
Umeå University Sweden
ai policy
ai education
ai literacy
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Aaron Roth
University of Pennsylvania United States of America
fairness in machine learning
algorithmic fairness
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Min Lee
University of Texas at Austin United States of America
fairness in ai
participatory ai
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Angelina Wang
Cornell Tech United States of America
fairness in ai
evaluation of ai systems
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Siavash Arjomand Bigdeli
Technical University of Denmark Denmark
algorithmic fairness
bias fairness
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Nour Ghadban
University of Glasgow United Kingdom
fairness-aware machine learning
ai healthcare equity
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Alan Tsang
Carleton University Canada
algorithmic fairness
fair allocation
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