Queen’s National Scholar in Philosophical Implications of Artificial Intelligence
Assistant 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 bias in recommendation systems, psychiatric classification, explanation in Artificial Neural Networks, health data privacy, and (against) eugenic tech. Current research topics include deep learning benchmarks, adversarial examples as methodology, evaluating AI generated art, and privacy implications of large language models
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. =^..^=
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.
Poet in Residence
Sofie’s research is firmly rooted in both feminist philosophy and transgender studies. These twin schools of thought inform her work in ways that are both explicit and implicit. Her current project brings together philosophy of artificial intelligence, philosophy of creativity, and contemporary poetics to explore the relationship between art—broadly conceived—and Artificial Intelligence. Her research questions include: What are the poetics of AI-generated art? Is AI-generated art creative? Who should we consider to be the author of AI-generated art?
Currently Sofie is working on an article that posits trans poetics as a way of doing trans philosophy, a co-authored piece exploring how we might epistemically ground diversity projects in AI, and several creative works, including a collaborative arts project exploring queer/mad/trans/femme futures.
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
Veronika is a second-year Master’s student at Queens. Her BSc research focused on bias in large language models (LLMs) and the development of a Russian language bias detection dataset. She is now working on studying the privacy issues in LLMs. Veronika’s research interests cover bias and fairness in deep learning models and social effects of modern AI technology.
I am currently an undergraduate student pursuing a degree in Computer Science at Queen’s University, with a focus on artificial intelligence. My academic interests lie in the intersection of AI and its practical applications across industries.