Recent Publications

MacLean, S.J. & Stinson, C. (forthcoming). Infernal Knowledge Machines: AI and Epistemic Model Collapse. Journal of Philosophy of Education. https://philpapers.org/archive/MACIKM.pdf

Abdalla, M., Abdalla, S., Cappello, A., Dowling, K., Metaxa, D., Widder, D.G., Stinson, C. (forthcoming). Cost-of-Ethics Crisis: Beliefs, Decisions, and Justifications in the Job Searches of Computer Science Students in Canada and the United States. In Proceedings of the 2026 AAAI/ACM Conference on AI, Ethics, and Society, AIES ’26. https://arxiv.org/pdf/2605.09680v1

Dada, M., Xie, W., Vlaad, S. and Stinson, C. (2026). What’s in a Name?: Pre-Crime Biases in Generative AI. International Conference on Large Language Models (LLM 2025.) https://link.springer.com/chapter/10.1007/978-3-032-28469-3_36

Stinson, C. (2026). Genius, Child, or Fake? How to Achieve Artificial General Intelligence. In Introducing Philosophy of Mind, Today, Eds. Devin Curry, Louise Daoust, p. 173–175. Routledge.

Stinson, C. (2026). Engagement versus Therapeutic Alliance: Large Language Models in AI Psychotherapy. American Journal of Bioethics. https://www.tandfonline.com/doi/full/10.1080/15265161.2025.2608622.

D. Gagnon-King, Jones, L., Gamayunova, A., Litwiniuk, S., Chen, X., Liu, A., Stinson, C. & Nabil, S. (2026). GlassIO: Long-Term In-Home Study of Hybrid Craft Through Interactive Stained Glass. 20th International Conference on Tangible, Embedded, and Embodied Interaction, TEI2026. https://dl.acm.org/doi/full/10.1145/3731459.3773304.

Cappello, A. and Stinson, C. (2026). The Challenges of Web Scraping and AI for Research Ethics in Canada: A Survey of University REBs. Journal of Empirical Research on Human Research Ethics. https://journals.sagepub.com/doi/10.1177/15562646261434135.

Khan, R., Sauve, A., Bayoumi, I., Simpson, A.L. and Stinson, C. (2026). The Patient/Industry Tradeoff in Medical Artificial Intelligence. AI and Ethics, 6:99. http://arxiv.org/abs/2601.06144 or https://link.springer.com/article/10.1007/s43681-025-00936-w

Grigoreva, V., Stinson, C. and Muise, C. (2025). Analysis of Linguistic Effects of Self-Consuming Training. International Conference on Foundation and Large Language Models (FLLM 2025). https://ieeexplore.ieee.org/abstract/document/11390942

Khan, R. and Stinson, C. (2025) Auditing Facial Emotion Recognition Datasets for Posed Expressions and Racial Bias. International Conference on Foundation and Large Language Models (FLLM 2025). https://ieeexplore.ieee.org/document/11391216 or https://arxiv.org/abs/2507.10755

Crosby, A., McClelland, A., Sharpe, T., Maeder, E., Stinson, C., Samuels Wortley, K., Khan, R.F. and Lin, Z. (2025) Tracking (In)Justice: Documenting Fatal Encounters with Police in Canada. Canadian Journal of Law and Society, 1–25. https://www.cambridge.org/core/journals/canadian-journal-of-law-and-society-la-revue-canadienne-droit-et-societe/article/tracking-injustice-documenting-fatal-encounters-with-police-in-canada/74BF7B4247292AE587D11E78853A0221

Stinson, C. (2025). Raising an AI Teenager. The Philosophy of Ted Chiang. Ed. D. Friedell. Palgrave MacMillan. https://philpapers.org/rec/STIRAA or https://link.springer.com/book/10.1007/978-3-031-81662-8

Aitken, W., Abdalla, M., Rudie, K. & Stinson, C. (2024). Collaboration or Corporate Capture? Quantifying NLP’s Reliance on Industry Artifacts and Contributions. Annual Meeting of the Association for Computational Linguistics. https://aclanthology.org/2024.acl-long.188/

Stinson, C. (2024). What are large language models made of? In M. E. Norris and S. E. Smith (Eds.), Leading the Way: Envisioning the Future of Higher Education. https://ecampusontario.pressbooks.pub/futureofhighereducation/chapter/what-are-large-language-models-made-of/

Cappello, A., Dada, M., Grigoreva, V., Khan, R., Stinson, C. & Stuart, H. (2024) Large Language Models and the Disappearing Private Sphere. Report for the Office of the Privacy Commissioner Contributions Program. https://labs.cs.queensu.ca/etlab/wp-content/uploads/sites/13/2024/04/OPC_Final_Report_2023.pdf

Stinson, C. & Vlaad, S. (2024). A Feeling for the Algorithm: Diversity and Expertise in Artificial Intelligence. Big Data & Society. https://journals.sagepub.com/doi/full/10.1177/20539517231224247

Oreamuno, E.L., R.F. Khan, A.A. Bangash, C. Stinson, B. Adams. (2023) The State of Documentation Practices of Third-Party Machine Learning Models and Datasets. IEEE Software. 41(5):52-59. https://www.computer.org/csdl/magazine/so/2024/05/10436659/1UyViY2HASk

Srivastava, A., A. Rastogi, A. Rao, …, Stinson, C., et al. (441 additional authors). (2023). Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Transactions on Machine Learning Research, 2835-8856. https://openreview.net/forum?id=uyTL5Bvosj

Stinson, C. (2022). Algorithms are not Neutral: Bias in Collaborative Filtering. AI and Ethics. https://link.springer.com/epdf/10.1007/s43681-022-00136-w 

Stinson, C. (2022). Fuck the Algorithm: Conceptual Issues in Algorithmic Bias. https://arxiv.org/abs/2505.13509

Robertson, J., C. Stinson & T. Hu. (2022). A Bio-Inspired Framework for Machine Bias Interpretation. In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, AIES ’22. 588598. https://dl.acm.org/doi/abs/10.1145/3514094.3534126 

Neophytou, N., B. Mitra & C. Stinson. (2022). Revisiting Popularity and Demographic Biases. In Recommender Evaluation and Effectiveness. In Advances in Information Retrieval. ECIR 2022. Lecture Notes in Computer Science 13185. Springer. https://doi.org/10.1007/978-3-030-99736-6_43 

Stinson, C. (January 2021) The Dark Past of Algorithms That Associate Appearance and Criminality. American Scientist, 109:1(26). https://www.americanscientist.org/article/the-dark-past-of-algorithms-that-associate-appearance-and-criminality 

Stinson, C., L. James, M. Abdalla, N. Moellers, S. Mosurinjohn, S. Phillips & A. Simpson. (November 2020) Limit Corporate Influence, Maximize Public Involvement and Accountability. New Digital Research Infrastructure Organization. https://www.catherinestinson.ca/Files/Papers/NDRIO_White_Paper_Ethics_Stinson.pdf

Stinson, C. (2020) From Implausible Artificial Neurons to Idealized Cognitive Models: Rebooting Philosophy of Artificial Intelligence. Philosophy of Science. 87(4), 590–611. https://www.cambridge.org/core/journals/philosophy-of-science/article/abs/from-implausible-artificial-neurons-to-idealized-cognitive-models-rebooting-philosophy-of-artificial-intelligence/304D381BDEE5B9BE934B4ED7D8E00A00

Stinson, C. (September 2020) Agency and Ethics in a Complex World. Future EDge, Issue 2. New South Wales Department of Education. https://education.nsw.gov.au/content/dam/main-education/teaching-and-learning/education-for-a-changing-world/media/documents/FutureEdge-Issue2.pdf 

Stinson, C. (May 2020) Algorithms Associating Appearance and Criminality Have a Dark Past. Aeon. https://aeon.co/ideas/algorithms-associating-appearance-and-criminality-have-a-dark-past