Clare O’Farrell: I have added the following statement to the About page on Foucault News.
Statement about generative AI
Last updated 24 October 2026
I do not support the outsourcing of research and writing to generative AI. The use of grammar and translation software by non native speakers is not included in this category – as long as the original words were authored by a human writer/researcher.
Given the increasingly widespread use of generative AI and the difficulty of detecting it in the production of academic and other writing, I cannot guarantee that work posted on Foucault News after the beginning of 2023 is free from writing and research generated by LLMs (Large Language Models).
I will continue to add items I personally find of interest to the reference list below as I come across them.
References
Emily M. Bender, Pangram is not an oracle, Mystery AI Hype Theater 3000: The Newsletter, 19 October 2026
Dorothy Bishop, Acceleration of the arms race between fraudsters and honest researchers, BishopBlog, 16 August 2026.
Callum Cant, James Muldoon, Mark Graham, Feeding the Machine. The Hidden Human Labor Powering A.I., Bloomsbury, 2024.
Kate Crawford, The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence, Yale University Press, 2021
Kate Crawford, Generative AI’s environmental costs are soaring — and mostly secret, Nature, 626, 693 (2024) https://doi.org/10.1038/d41586-024-00478-x
Steven Gonzalez Monserrate, The Cloud Is Material: On the Environmental Impacts of Computation and Data Storage, MIT Case Studies in Social and Ethical Responsibilities of Computing, no. Winter (January) 2022. https://doi.org/10.21428/2c646de5.031d4553
Kahryn Hughes and Anna Tarrant, Is AI influencing qualitative data histories and futures? London School of Economics and Political Science (LSE) Blog, 2 September 2026
Sharon Kabel, A bibliography of genAI-fueled research fraud from 2025. Sharon Kabel’s blog, 23 December 2025.
Dmitry Kobak et al. Delving into LLM-assisted writing in biomedical publications through excess vocabulary, Science Advances, vol 7, Issue 27 (2025). DOI:10.1126/sciadv.adt3813
Rainer Mühlhoff, The Ethics of AI. Power, Critique, Responsibility, Bristol University Press, 2025
James Muldoon interviewed by Sabrina Provenzani, AI is an extraction machine. But resistance is possible, The Citizens, 17 September 2024.
George Saunders, Model Behavior. Interviewed by Arielle Swedback, Substack, 1 October 2026.
Jan-Philipp Siebold, Annemarie Witschas, Rainer Mühlhoff, 2026. “ When the Future Feels Foreclosed: AI Resignation and the Power to Act.” Future Humanities 4: e70026.
https://doi.org/10.1002/fhu2.70026.
Petra Stock, The environmental cost of datacentres is rising. Is it time to quit AI?, The Guardian, 14 March 2026.
Michael Uebel & Bilal Hamamra, Authorship After Generative AI: Distributed Creativity and Relational Responsibility. Philosophy & Technology, 39, 152 (2026). https://doi.org/10.1007/s13347-026-01170-w
Jill Walker Rettberg, LLMs are metaphor machines: orbital argumentation, misaligned citations, and scientific fabrication in AI-generated writing. AI & Society, 08 September 2026. https://doi.org/10.1007/s00146-026-03310-4
John Warner and Ben Williamson, Frankencitations Ravage the Academic Countryside, Inside Higher Ed, 6 May 2026.
Blogs
Emily M. Bender and Alex Hanna, Mystery AI Hype Theater 3000: The Newsletter
Corey Doctorow https://craphound.com/
Cal Newport https://calnewport.com/blog/
Retraction Watch, Tracking retractions as a window into the scientific process.
Jill Walker Rettberg https://jilltxt.net/
