Interpretability In Ai Professors in Global

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Wm. Kennedy
University of Oxford United Kingdom
ai evaluations
interdisciplinary ai
ai knowledge production
ai foresight
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Francesco Leofante
Imperial College London United Kingdom
explainability in ai
ai alignment
ai decision making
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Olga Russakovsky
Princeton University United States of America
accountability in ai
transparency in ai
fairness in ai
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Alan Said
University of Gothenburg Sweden
transparency in ai
sustainability in ai
fairness in ai
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Yue Zhao
University of Southern California United States of America
scalable ai systems
reliable ai systems
ai and climate modeling
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Glaucia Melo Dos Santos
Toronto Metropolitan University Canada
adaptive ai
ai-driven development
human-ai interaction
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Derya Soydaner
Leiden University Netherlands
cognitive processes in ai
human-ai interaction
interdisciplinary ai research
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Xin Tang
University of British Columbia Canada
ai interpretability
ai explainability
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Shai Ben-david
University of Waterloo Canada
interpretability in machine learning
reliability in machine learning
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Michael Guerzhoy
University of Toronto Canada
mechanistic interpretability
interpretable machine learning
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Matthias Wilms
University of Michigan United States of America
interpretability
explainability
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Yan Leng
University of Texas at Austin United States of America
interpretable machine learning
human-centric interpretability
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Kerstin Bunte
University of Groningen Netherlands
explainable ai
interpretable models
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Fei Wang
Cornell University Netherlands
model interpretability
explainability
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Caroline Bassett
University of Cambridge United Kingdom
ai explainability
ai writing
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Pepa Atanasova
University of Copenhagen Denmark
interpretability in language models
explainability methods
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Amir Rahnama
KTH Royal Institute of Technology Sweden
interpretable machine learning
explainable machine learning
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Zihuai University
Stanford University United States of America
interpretable machine learning
explainable machine learning
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Ehsan Mobaraki
Aalborg University Denmark
explainable artificial intelligence
explainability
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Lili Jiang
Umeå University Sweden
explainable ai
trustworthy ai
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Andre Freitas
University of Manchester United Kingdom
explainable ai
natural language inference
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