Elizabeth de FreitasEditorMatthew X. CuringaEditorEzekiel J. Dixon-RománEditorP. Taylor WebbEditor
Learning Under Algorithmic Conditions charts the shifting terrain of cognition and thought in the age of artificial intelligence. Providing historical and philosophical context, this innovative volume elucidates the impact of machine learning technologies on practices of knowledge production and sheds light on how learning has become newly envisioned, machinic, and more-than-human.
The University of Minnesota Press gratefully acknowledges the generous assistance provided for the publication of this book by the University of British Columbia, Columbia University, and Adelphi University.
Chapter 1 contains portions previously published, in modified form, from Elizabeth de Freitas, “Fragile Books and Machine Readers: Trans/in/dividual Reading Tactics in a Complex Technical Milieu,” International Journal of Qualitative Studies in Education 37, no. 6 (2024): 1655–65; reprinted by permission of the publisher (Taylor & Francis Ltd, https://www.tandfonline.com). Portions of chapter 5 were previously published in a different form in Carolyn Pedwell, “The Intuitive and the Counter-intuitive: AI and the Affective Ideologies of Common Sense,” New Formations 112 (2024): 70–93.
Copyright 2026 by the Regents of the University of Minnesota
Learning Under Algorithmic Conditions is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0), https://creativecommons.org/licenses/by-nc-nd/4.0/.
isbn
978-1-4529-7750-8
publisher
University of Minnesota Press
publisher place
Minneapolis, MN
restrictions
Please see the Creative Commons website for details about the restrictions associated with the CC BY-NC-ND 4.0 license.
