Queen’s National Scholar in Philosophical Implications of Artificial Intelligence
Associate Professor in the Philosophy Department and School of Computing.
Dr. Stinson has a PhD in History & Philosophy of Science from the University of Pittsburgh, and a MSc in Computer Science from the University of Toronto. They specialize in methodology and ethics of artificial intelligence, and have published on algorithmic bias, psychiatric classification, explanation in Artificial Neural Networks, and technology policy. Current research topics include AI's benchmark methodology, the role of critique in scientific progress, and historical connections between AI and eugenics .
Alicia is a part-time PhD student in Cultural Studies as well as an Engineering & Science Librarian at Queen’s. Her PhD research interests focus on the intersection of artificial intelligence, privacy, ethics, and data. She has a Master of Arts in Digital Humanities and a Master of Library and Information Studies, both from the University of Alberta. As a Crazy Cat Lady, Alicia was able to incorporate her love for cats in her Master’s thesis titled, The Community-based (Virtual) Human-Animal Bond: An Exploration of the TinyKittens Online Community. She is not above trying to incorporate cats into her PhD dissertation somehow. =^..^=
Liming is an undergraduate student at Wuhan University of Technology and an incoming MSc student at the University of Alberta. Their research includes natural language processing, with a particular interest in evaluating large language models for mental health applications. They are interested in combining technical and interdisciplinary approaches to build more humane AI systems.
Mason Choi is an MA student in Cultural Studies. His research interests look at technological body horror and machinic failure as a vehicle for the formation of kinship with objects. He intends to apply these ideas to explore how one might foster alternative relations to technology that have the potential to counter dominant hierarchies.
Peirce is a PhD student in Cultural Studies. His work is focused on examining the entanglements of labour, resistance, belief, and being in the context of the extractive violence of artificial intelligence and surveillance technologies. He hopes that his work will enable people to develop a deeper understanding of their own relationships with technology, the structures that have given shape to the techno-capitalist systems under which they live, and to imagine alternative ways of being.
Rina Faiyaz Khan is originally from Dhaka, Bangladesh. She completed her Bachelor’s in Electronic Engineering from Multimedia University in Malaysia. She then proceeded to complete her Master’s in Computing at Queen’s University, where she is now pursuing her PhD in Computing. Rina’s research interests include AI ethics, focusing on how bias impacts marginalized communities and methods of building fairer and more equitable AI models.
Tindur Sigurdarson is a Ph.D. Student in the CREATE Cybersecurity program. His M.Sc. research focused on the potential for machine learning predictors to explain their own faults in the context of ethical and interpretable machine learning.
Research interests: Interpretable & Fair ML, ML for Cybersecurity, and Data Pruning