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Changjian Shui is an Assistant Professor specializing in the ethical, reliable, and responsible use of Machine Learning. His research focuses on fairness and equity in machine learning, emphasizing the need to address pivotal issues to ensure responsible application of these technologies. He has presented at prominent conferences including ICML, NeurIPS, and MICCAI, exploring topics such as distribution shift and the development of theories and algorithms to tackle these challenges. His recent work highlights the relationship between distribution shift and responsible machine learning practices. Beyond his academic pursuits, he has engaged in teaching courses on Ethics in Artificial Intelligence and Design.
Vector Institute • Toronto, Canada
Conduct research on the application of machine learning in ethical contexts.
University of Ottawa • Ottawa, Canada
Teach courses and conduct research related to machine learning and its ethical implications.
Department of History