This list has been assembled by Mike Nason, UNB Libraries, and will be supplemented whenever something is compelling enough to add. I want to note at the top that I do understand there’s a baby in the bathwater with LLM technology and the work of people in the field of Natural Language Processing (NLP). But, unfortunately, that work has been largely subsumed by the capital and corporations responsible for Generative AI.
What I ask from my colleagues is not, specifically, to adopt my politics (although, hey, if the shoe does fit, go for it). Instead, what I want is for the people I respect to approach the rapid, manic adoption of these products in our profession with due skepticism and forethought. Generative AI use is a labour issue. It’s an information literacy issue. It’s a privacy issue. It’s a capital issue. It’s a power issue.
Adoption of these products in our day-to-day is not a neutral act. As we know from the open access movement, our dollars and how we spend them have meaning.
People in this space writing good bits, scholarship, and other scholarly communication about LLMs.
*AI as a marketing term serves the interest of people in power.
Timnit Gebru
Former Google developer and head of the Distributed Artificial Intelligence Research Institute
Chris Gilliard
Co-Director of The Critical Internet Studies Institute. He is a writer, professor, and speaker whose scholarship examines digital privacy, surveillance, and the intersections of race, class, and technology.
Professor at the Santa Fe Institute. Artificial intelligence, cognitive science, and complex systems.
Professor of Linguistics at the University of Washington where she is also the Faculty Director of the Computational Linguistics Master of Science program and affiliate faculty in the School of Computer Science and Engineering and the Information School & Director of Research at the Distributed AI Research Institute (DAIR) and a Lecturer in the School of Information at the University of California Berkeley, respectively.
Founder and principal investigator of the AI Accountability Lab (AIAL) housed at the School of Computer Science and Statistics in Trinity College Dublin, Ireland
Journalist and Author reporting on the AI Industry
Professor of Computational Cognitive Science at the School of Artificial Intelligence in the Faculty of Social Sciences at Radboud University Nijmegen, The Netherlands.
Department of Cognitive Science and Artificial Intelligence in the Donders Centre for Cognition and the School of Artificial Intelligence at Radboud University in the Netherlands
Gates Scholar at the University of Cambridge for a PhD in the Digital Humanities, examining the relationship between archival practices and generative AI.
Senior Lecturer in Critical AI. Degree in Physics from Oxford and a PhD in Experimental Particle Physics from Imperial College, London
Assistant Professor in Philosophy and Data Science with a doctorate in Science, Technology, and Society from Virginia Tech.
Your Face Belongs to Us by Kashmir Hill: 9780593448571 | PenguinRandomHouse.com: Books
The New Artificial Intelligentsia | Los Angeles Review of Books
Meredith Whittaker - SXSW Keynote - The State of Personal Online Security and Confidentiality
Meredith Whittaker is the CEO of Signal and an outspoken expert in the space of privacy and surveillance.
Closing Keynote: Dealing with Generative AI, Harms and Mitigation Techniques
Ben Zhao is a prominent computer scientist and in this talk from Open Repositories in 2025, he breaks down the differences and implications of the capabilities present in discriminatory AI (platforms which discern and process data) and generative AI (platforms which predict text).
Explicitly unbiased large language models still form biased associations | PNAS
X. Bai, A. Wang, I. Sucholutsky, & T.L. Griffiths, Explicitly unbiased large language models still form biased associations, Proc. Natl. Acad. Sci. U.S.A. 122 (8) e2416228122, https://doi.org/10.1073/pnas.2416228122 (2025).
Against the Uncritical Adoption of 'AI' Technologies in Academia
Guest, O., Suarez, M., Müller, B., van Meerkerk, E., Oude Groote Beverborg, A., de Haan, R., Reyes Elizondo, A., Blokpoel, M., Scharfenberg, N., Kleinherenbrink, A., Camerino, I., Woensdregt, M., Monett, D., Brown, J., Avraamidou, L., Alenda-Demoutiez, J., Hermans, F., & van Rooij, I. (2025). Against the Uncritical Adoption of 'AI' Technologies in Academia. Zenodo. https://doi.org/10.5281/zenodo.17065099
Gebru, T., & Torres, Émile P. (2024). The TESCREAL bundle: Eugenics and the promise of utopia through artificial general intelligence. First Monday, 29(4). https://doi.org/10.5210/fm.v29i4.13636
Baer, A. (n.d.). Investigating the “Feeling Rules” of Generative AI and Imagining Alternative Futures – In the Library with the Lead Pipe. https://www.inthelibrarywiththeleadpipe.org/2025/ai-feeling-rules/
Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?
Libraries and Large Language Models as Cultural Technologies and Two Kinds of Power
Generative AI exists because of the transformer
An excellent piece of visual learning to explain how Generative AI works on the token-to-token level. Essential for understanding what’s actually happening when you make a query and how this software operates.
A basic appeal to the ground-level issues with AI in libraries, in the format of a zine. Frames the application of the tool against fundamental frictions present in the roles and responsibilities of librarianship per ALA professional practice.
How To Argue With An AI Booster
Ed has been reporting on tech for years and has a lot to say about the viability of AI providers in the modern tech industry. Important reporting on the AI bubble, the costs of compute, and the politics of debt.
Resistance, Rebellion, Refusal: 7 Tips from Librarians for Navigating “AI” — Civics of Technology
Basic recommendations to researchers in the educational technology space about resistance to AI.