Human Friendly Ai Professors in Global

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Il-min Kim
Queen's University Canada
safe ai
responsible ai
safe generative ai
ai alignment
ai physical systems
generative ai
multiple ai agents
agentic ai
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Wm. Kennedy
University of Oxford United Kingdom
interdisciplinary ai
ai human rights
ai education
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Edward Sykes
University of Guelph Canada
ai in health
generative ai
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Edward Sykes
University of Guelph Canada
ai in health
generative ai
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Peter Leth
Aalborg University Denmark
ai architecture
generative ai
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Theo Araujo
University of Amsterdam Netherlands
generative ai
human-machine communication
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Theo Araujo
University of Amsterdam Netherlands
generative ai
human-machine communication
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Johanna Walker
King's College London United Kingdom
generative ai
human-data interaction
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Xianghan O'dea
King's College London United Kingdom
generative ai
ai education
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Zakia Hammal
Carnegie Mellon University United States of America
human-robot interactions
human-centered robotics
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Ying Wu
Northwestern University United States of America
intelligent interaction
intelligent machines
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Panayiotis Danassis
University of Southampton United Kingdom
cooperative ai
intelligent agents
agentic ai
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Guang Lin
Purdue University United States of America
reliable ai
robust ai
fair ai
physics-informed ai
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Wei Li
University of Victoria Canada
applied ai in automation
applied ai in health
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Mike Hagenow
University of Wisconsin–Madison United States of America
human-robot teaming
physical human-robot interaction
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Yue Liu
Australian National University Australia
responsible ai
software engineering ai
ai health safety environment
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Tatjana Titareva
Umeå University Sweden
ai policy
ai education
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Andreea Bobu
Massachusetts Institute of Technology United States of America
algorithmic human-robot interaction
robot learning from human feedback
human-centered robotics
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Sirisha Rambhatla
University of Waterloo Canada
ai intelligent automation
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Lihi Idan
Texas A&M University United States of America
human-computer interaction
ethical responsible ai
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Yue Zhao
University of Southern California United States of America
reliable ai systems
safety in ai
scalable ai systems
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