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Ridley, M. (2023). Using folk theories of recommender systems to inform human-centered explainable AI (HCXAI). The Canadian Journal of Information and Library Science, 46(2), Article 2. https://doi.org/10.5206/cjils-rcsib.v46i2.15723
Ridley, M. (2023). Protocols not platforms: The case for human-centered explainable AI (HCXAI). Annual Conference. Canadian Association for Information Science. Virtual. URL
Ridley, M. (2023). Insights from the Folk Theories of Recommender System Users. ACM CHI 2023 Workshop on Human-Centered Explainable AI (HCXAI). Virtual. DOI
Ridley, M. (2022). Folk Theories, Recommender Systems, and Human Centered Explainable Artificial Intelligence (HCXAI). PhD Thesis. Western University. URL
Ridley, M. (2022). Explainable AI (XAI): Adoption and Advocacy. Information Technology and Libraries, 41(2). DOI
Ridley, M. (2021). Folk Theories, Machine Learning, and XAI (poster). Vector Research Symposium. Vector Institute: Toronto. PDF
Ridley, M. (2019). Explainable Artificial Intelligence. Research Library Issues (299). DOI
Ridley, M. (2023). ChatGPT, Bard, Cicero, Galactica, et al. Time to Start Thinking About Machine Information Behaviour. Internet Librarian. Virtual. Slides.
Ridley, M. (2022). Machine information behaviour. In S. Hervieux & A. Wheatley (Eds.), The rise of AI: Implications and applications of artificial intelligence in academic libraries (pp. 175–188). Association of College and University Libraries. PDF
Ridley, M. (forthcoming January 2025). Informing Algorithmic Literacy Through User Folk Theories. College and Research Libraries. Preprint.
Ridley, M., Pawlick Potts, D. & Mayhew, A. (2022). Algorithmic Literacy and the Role for Libraries. Ontario Library Association. SuperConference. Video
Ridley, M. & Pawlick-Potts, D. (2021). Algorithmic Literacy and the Role for Libraries. Information Technology and Libraries, 40(2). DOI [awarded the “Publication of the Year” by the Artificial Intelligence (AI) Special Interest Group of the Association for Information Science and Technology].
Ridley, M. (2021). What We Talk About When We Talk About Algorithms. Open Shelf. April 2021. HTML
Ridley, M. (2018). Academic Librarians and the PhD. Partnership: The Canadian Journal of Library and Information Practice and Research, 13 (1). DOI
Ridley, M. (2014). Returning to the Ranks: Towards an Holistic Career Path in Academic Librarianship. Partnership: The Canadian Journal of Library and Information Practice and Research,, 9 (2). DOI
Ridley, M. (2013). Culture, Values, and Change: Observations from Three Consortia in Canada. In Maxine Melling and Margaret Weaver (Eds.), Collaboration in Libraries and Learning Environments. London, UK: Facet Publishing. PDF
Ridley, M. (2009). Beyond Literacy: Are Reading and Writing Doomed? In Dawn M. Mueller (Ed.) National Conference of the Association of College and University Libraries, Chicago: Association of College and Research Libraries, 210-213. PDF
Ridley, M. (2016). Making Radio: Using Audio for Student Assignments. The Teaching Professor, 30 (7), 5. PDF
"The Explainability Imperative: Human Centered Explainable AI (HCXAI)." Fantastic Futures: AI4LAM. Vancouver. November 15-17, 2023.
"Machine Information Behaviour: Understanding Our New Overlords." Queen's University Library (Kingston). October 13, 2023.
"Artificial Intelligence (AI), Machine Learning, and Research Libraries: Opportunities, Concerns, and Actions." University of Waterloo Library (June 27, 2023); University of Ottawa Library (June 15, 2023); Carleton University Library (June 14, 2023).
"Machine Learning and Research Libraries: Implications and Actions." Canadian Association of Research Libraries (CARL). Spring Meeting (Calgary). May 31, 2023.
"What ChatGPT and Machine Learning Means for Academic Libraries." Ontario Council of University Libraries (OCUL). Spring Meeting (Kingston). April 27, 2023.
"Artificial Intelligence and Information Policy: Regulating AI." iSchool, University of Toronto. March 28, 2023.
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