McQuillan, Daniel. 2022. Resisting AI: An Anti-fascist Approach to Artificial Intelligence. Bristol: Bristol University Press. ISBN 9781529213492
Book Section
McQuillan, Daniel. 2026. AI and the counter-university. In: Laurent Dubreuil and Daniel McQuillan, eds. Mechanema. New York: Cornell University Press.
McQuillan, Daniel; Arvidsson, Matilda and Gandorfer, Daniela. 2026. New Digital Technologies, Law, and a Non-Fascist Life? On Global Governance, Digital Networks, and the Molecular Unconscious. In: Fleur Johns; Gavin Sullivan and Dimitri Van Den Meerssche, eds. Global Governance by Data: Infrastructures of Algorithmic Rule. Cambridge: Cambridge University Press. ISBN 9781009425308
McQuillan, Daniel. 2026. AI Infrastructures, Total Mobilisation and Decomputing. In: Anne Mollen; Fieke Jansen; Sigrid Kannengie脽er and Julia Velkova, eds. AI Infrastructures and Sustainability: Expanding perspectives on automation, communication and media. London: Palgrave Macmillan, pp. 301-320. ISBN 9783032097477
McQuillan, Daniel. 2021. Post-Humanism, Mutual Aid. In: Pieter Verdegem, ed. AI for Everyone? Critical Perspectives. London: University of Westminster Press, pp. 67-84. ISBN 9781914386169
McQuillan, Daniel. 2020. Deep Bureaucracy and Autonomist AI. In: Maria Hlavajova and Sven L眉tticken, eds. Deserting from the Culture Wars. Cambridge, MA: MIT Press. ISBN 9780262539432
McQuillan, Daniel. 2020. Artificial Intelligence. In: Martin Parker, ed. Life After COVID-19: The Other Side of Crisis. Bristol University Press. ISBN 9781529215397
McQuillan, Daniel. 2019. Non-fascist AI. In: Maria Hlavajova and Wietske Maas, eds. Propositions for Non-Fascist Living: Tentative and Urgent. Cambridge, Massachusetts: MIT Press. ISBN 9780262537896
Article
McQuillan, Daniel and Holubowicz, Gerald. 2025. Le 芦 decomputing 禄 comme acte de r茅sistance 鈥� Partie 1 [French translation of 'Decomputing as Resistance']. Synth,
McQuillan, Daniel and Fuser, Gianluca. 2025. Decomputing come atto di resistenza - Prima parte [Italian translation of 'Decomputing as Resistance']. Controversie 鈥� Ripensare le Scienze e le Tecnologie, ISSN 3035-4226
McQuillan, Daniel. 2025. Resisting the Techno-Fascist Takeover: Are We Ready for Decomputing? Berliner Gazette,
McQuillan, Daniel. 2025. Environmental peacebuilding and AI: the case for decomputing. Environment and Security, ISSN 2753-8796
McQuillan, Daniel. 2025. A Psychogeography of AI. Making & Breaking, 4,
McQuillan, Daniel and Hendrix, Justin. 2025. Is an Anti-Fascist Approach to Artificial Intelligence Possible? Tech Policy Press,
McQuillan, Daniel. 2025. Labour's AI Action Plan - a gift to the far right. Computer Weekly, ISSN 0010-4787
McQuillan, Daniel. 2024. Betting on AI will take Scotland backwards not forwards. Bella Caledonia, ISSN 2634-1107
McQuillan, Daniel. 2024. A Just Transition Means Resisting AI. The Scottish Left Review, 141,
McQuillan, Daniel; Jarke, Juliane and Pargman, Teresa Cerratto. 2024. We Are at an Extreme Point Where We Have to Go All in on What We Really Believe Education Should Be About. Postdigital Science and Education, 6(1), pp. 360-364. ISSN 2524-485X
McQuillan, Daniel. 2024. AI will create a thousand Post Office scandals. Computer Weekly, ISSN 0010-4787
McQuillan, Daniel. 2023. Predicted benefits, proven harms: How AI鈥檚 algorithmic violence emerged from our own social matrix. The Sociological Review Magazine, ISSN 2754-1371
Weir, Doug; McQuillan, Daniel and Francis, Robert A.. 2019. Civilian science: the potential of participatory environmental monitoring in areas affected by armed conflicts. Environmental Monitoring and Assessment, 191(618), ISSN 0167-6369
McQuillan, Daniel. 2018. Data Science as Machinic Neoplatonism. Philosophy & Technology, 31(2), pp. 253-272. ISSN 2210-5433
McQuillan, Daniel. 2018. People's Councils for Ethical Machine Learning. Social Media + Society, 4(2),
McQuillan, Daniel. 2017. Counter Mapping the Smart City. Livingmaps Review(2),
McQuillan, Daniel. 2017. The Anthropocene, Resilience and Post-Colonial Computation. Resilience: International Policies, Practices and Discourses, 5(2), pp. 92-109. ISSN 2169-3293
McQuillan, Daniel. 2016. Algorithmic paranoia and the convivial alternative. Big Data & Society, 3(2), ISSN 20539517
McQuillan, Daniel. 2015. Algorithmic States of Exception. European Journal of Cultural Studies, 18(4/5), pp. 564-576. ISSN 1367-5494
McQuillan, Daniel. 2014. The Countercultural Potential of Citizen Science. M/C Journal, 17(6),
Meredith, David. 2006. The ps13 Pitch Spelling Algorithm. Journal of New Music Research, 35(2), pp. 121-159. ISSN 0929-8215
Conference or Workshop Item
McQuillan, Daniel. 2025. 'Dan Mcquillan on Decomputing'. In: LOCOS Seminar. Glasgow, United Kingdom 16 October 2025.
McQuillan, Daniel. 2025. 'Responsible AI Means Decomputing'. In: BRAID x IDI Hybrid Seminar. London, United Kingdom.
Audio
McQuillan, Daniel and Saenz de Sicilia, Andr茅s. 2025. AI and the Digital: Resisting AI - Dan McQuillan in conversation with Andr茅s Saenz de Sicilia.
McQuillan, Daniel. 2025. Bursting Bubbles with Dan McQuillan.
McQuillan, Daniel. 2025. In the Meanwhile Ep 12: Dan McQuillan on resisting our AI overlords.
McQuillan, Daniel. 2025. Decomputing For a Better Future.
McQuillan, Daniel. 2023. Trashfuture podcast: Dark Satanic Data Mills feat. Dan McQuillan.
McQuillan, Daniel. 2023. Machine Learning Street Talk #109 - Dr. DAN MCQUILLAN - Resisting AI.
McQuillan, Daniel. 2023. Tech Won't Save Us - Episode #158: Why We Must Resist AI.
McQuillan, Daniel. 2022. The Anti-Fascist Approach to AI.
McQuillan, Daniel. 2022. ThisMachineKills Episode 186. Refusing the Everyday Fascism of Artificial Intelligence (ft. Dan McQuillan).
Broadcast
McQuillan, Daniel and Di Salvo, Philip. 2025. Overnight Ep. 77 鈫� The Necropolitics of AI.
Professional Activity
McQuillan, Daniel. 2025. Opening Statement to the Oireachtas Joint Committee on AI.
Report
McQuillan, Daniel. 2024. Public policymaking: from AI to decomputing. Other. Joseph Rowntree Foundation, York.
McQuillan, Daniel. 2023. Submission of Evidence to the House of Lords Communications and Digital Committee Inquiry into Large language models. Other. UK Parliament, London.
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