Foucault News

News and resources on French thinker Michel Foucault (1926-1984)

Pan, S., & Mou, Y. (2025). Dancing With a Loving Chatbot: Power Dynamics Between Women and Their AI Partners. Social Science Computer Review, 0(0). https://doi.org/10.1177/08944393251340693 Abstract With the growing prevalence and accessibility of AI companions, contemporary women are forming relationships with virtual partners. It is important to examine the relational, social, and gender-related implications of …

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D’Amato, K. ChatGPT: towards AI subjectivity. AI & Society 40, 1627–1641 (2025). https://doi.org/10.1007/s00146-024-01898-z Abstract Motivated by the question of responsible AI and value alignment, I seek to offer a uniquely Foucauldian reconstruction of the problem as the emergence of an ethical subject in a disciplinary setting. This reconstruction contrasts with the strictly human-oriented programme typical …

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Ryan, M. We’re only human after all: a critique of human-centred AI. AI & Society 40, 1303–1319 (2025). https://doi.org/10.1007/s00146-024-01976-2 Abstract The use of a ‘human-centred’ artificial intelligence approach (HCAI) has substantially increased over the past few years in academic texts (1600 +); institutions (27 Universities have HCAI labs, such as Stanford, Sydney, Berkeley, and Chicago); in …

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Rovira Martorell, J., Gálvez, A., & Tirado, F. (2024). Artificial Intelligence and the Production of Judicial Truth. Theory, Culture & Society, 42(1), 3-18. https://doi.org/10.1177/02632764241268174 (Original work published 2025) Abstract The aim of this paper is to present artificial intelligence (AI) as an organ with a role in the production of judicial truth, expanding its objects, …

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Diefenhardt, F. (2025). Automating the managerial gaze: critical and genealogical notes on machine learning in personnel assessment. The International Journal of Human Resource Management, 1–34. https://doi.org/10.1080/09585192.2025.2470302 Abstract This paper takes a Foucauldian approach to current discussions on the use of machine learning in personnel selection, with a focus on pre-selection assessment. It problematizes two central …

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Gretzky, M., & Dishon, G. (2025). Algorithmic-authors in academia: blurring the boundaries of human and machine knowledge production. Learning, Media and Technology, 1–14. https://doi.org/10.1080/17439884.2025.2452196 ABSTRACT The emergence of large language models (LLMs) that generate human-like texts has raised questions about the boundaries between human-authored and machine-generated outputs. This article examines how LLMs are re-shaping academic …

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Giorgi Vachnadze, The Incomputability of Calculation: Wittgenstein, Turing and the Question of Artificial Intelligence, Newsletter on the Results of Scholarly Work in Sociology, Criminology, Philosophy and Political Science, Vol. 5 No. 1 (2024). Special Issue Tune-Changing World – Every Single Minute DOI: https://doi.org/10.61439/URSA3237 Open access Abstract Calculation is one of the foundational concepts operating at …

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Vachnadze, G. (2024) Christian Eschatology of Artificial Intelligence: Pastoral Technologies of Cybernetic Flesh. Berlin/Nicosia: Becoming Press. 978-9925-8118-8-5. Christian Eschatology of Artificial Intelligence, written by Wittgenstein and Foucault scholar Giorgio Vachnadze, draws a circle around many topics that have been important to Becoming’s editorial line, from epistemology to cybernetics, biopolitics, philosophy of music and semiology. The …

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Giorgi Vachnadze, The Bio-Politics of Artificial Intelligence: Pastoral Technologies and Eschatological Narratives, Epoché, Issue #73 July 2024 Extract In agreement with Hubert Dreyfus (1972), we could easily say: “The story of artificial intelligence might well begin around 450 B.C.” That won’t give us much beyond words however. That’s not the commitment we can make for …

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Gordon Hull, LLM, Inc. New APPS: Art, Politics, Philosophy, Science blog, 27 February 2024 In previous posts (one, two, three), I’ve been exploring the issue of what I’m calling the implicit normativity in language models, especially those that have been trained with RLHF (reinforcement learning with human feedback). In the most recent one, I argued …

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