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Dr Dan McQuillan

Staff details

Dr Dan McQuillan

Position

Lecturer in Creative & Social Computing

Department

Computing

Email

d.mcquillan (@gold.ac.uk)

Lecturer in Creative & Social Computing, author of 'Resisting AI - An Anti-fascist Approach to Artificial Intelligence'

After a Ph.D in Experimental Particle Physics, Dan worked with people learning disabilities & mental health issues, created websites with asylum seekers, ran social innovation camps in Georgia, Armenia & Kyrgyzstan, led a citizen science project in Kosova, and worked in digital roles in both Amnesty International and the NHS. He is now a Lecturer in Creative and Social Computing, and recently authored 'Resisting AI - An Anti-fascist Approach to Artificial Intelligence'.

Teaching and supervision

  • Critical Social Media Practices (PG)
  • Ethical Computing (UG)
  • Social Media, Crowdsourcing & Citizen Sensing (UG)
  • Critical AI

Featured publications

Publications and research outputs

Book

McQuillan, Daniel. 2022. Resisting AI: An Anti-fascist Approach to Artificial Intelligence. Bristol: Bristol University Press. ISBN 9781529213492

Book Section

McQuillan, Daniel; Arvidsson, Matilda and Gandorfer, Daniela. 2024. 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.

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 Lütticken, eds. Deserting from the Culture Wars. Cambridge, MA: MIT Press. ISBN 9780262539432

Article

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’s 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

Audio

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.

Report

McQuillan, Daniel. 2023. Submission of Evidence to the House of Lords Communications and Digital Committee Inquiry into Large language models. Other. UK Parliament, London.

Research projects