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Not anti-technology, but anti-capitalist: a critical theory of AI. An interview with Professor Simon Lindgren
Umeå University, Faculty of Social Sciences, Department of Sociology.ORCID iD: 0000-0001-6289-9427
Murdoch University, Singapore, Singapore.
Kaplan Business School, Australia.
Kaplan Higher Education, Singapore, Singapore.
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2026 (English)In: Journal of Applied Learning & Teaching, ISSN 2591-801X, Vol. 9, no 2, article id e3971Article in journal (Refereed) Published
Abstract [en]

In this interview, Professor Simon Lindgren – Professor of Sociology at Umeå University, Sweden, and founder of the DIGSUM Centre for Digital Social Research – reflects on the intellectual trajectories, institutional frustrations, and critical theoretical commitments that underpin his recent and forthcoming scholarship on artificial intelligence. Drawing on Critical Theory of AI (2024), the Handbook of Critical Studies of Artificial Intelligence (2023), and the forthcoming Discourse Machines (2026), Lindgren argues that AI functions as an "empty signifier" – a concept sufficiently loose to serve almost any ideological agenda, yet firm enough to reshape policy, power relations, and everyday life. He critiques responsible AI and AI ethics frameworks as structurally insufficient and introduces his concept of "bias bias" to describe the tendency to reduce systemic inequalities, such as racism and sexism, to technical calibration problems. Lindgren addresses the deepening of inequality through corporate concentration of AI development, the marginalisation of minority languages, and the collision between cheating discourse and efficiency discourse within universities. He advocates for a literacy-centred, de-dramatising pedagogical response to generative AI, stressing that domain knowledge remains essential for meaningful human–AI collaboration. The interview concludes with Lindgren's clarification that critical scholarship is not anti-technology per se but is fundamentally opposed to the capitalist structures and determinist logic that currently govern AI's development and deployment.

Place, publisher, year, edition, pages
Open Access Publishing Association , 2026. Vol. 9, no 2, article id e3971
Keywords [en]
Artificial intelligence, critical theory, discourse analysis, generative AI, higher education, inequality, solutionism
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Business Administration
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URN: urn:nbn:se:umu:diva-259331DOI: 10.37074/jalt.2026.9.2.1Scopus ID: 2-s2.0-105051363043OAI: oai:DiVA.org:umu-259331DiVA, id: diva2:2107098
Available from: 2026-10-01 Created: 2026-10-01 Last updated: 2026-10-02Bibliographically approved

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3132333435363734 of 264
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