Browse by Goldsmiths authors: McQuillan, Daniel
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Number of items: 23.
2025
McQuillan, Daniel.
2025.
Environmental peacebuilding and AI: the case for
decomputing.
Environment and Security,
ISSN 2753-8796
[Article]
(Forthcoming)
2024
McQuillan, Daniel.
2024.
AI will create a thousand Post Office scandals.
Computer Weekly,
ISSN 0010-4787
[Article]
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.
[Book Section]
(Forthcoming)
2023
McQuillan, Daniel.
2023.
Submission of Evidence to the House of Lords Communications and Digital Committee Inquiry into Large language models.
Other.
UK Parliament, London.
[Report]
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
[Article]
2022
McQuillan, Daniel.
2022.
Resisting AI: An Anti-fascist Approach to Artificial Intelligence.
Bristol: Bristol University Press.
ISBN 9781529213492
[Book]
2021
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
[Book Section]
2020
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
[Book Section]
McQuillan, Daniel.
2020.
Artificial Intelligence.
In: Martin Parker, ed.
Life After COVID-19: The Other Side of Crisis.
Bristol University Press.
ISBN 9781529215397
[Book Section]
2019
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
[Book Section]
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
[Article]
2018
McQuillan, Daniel.
2018.
Data Science as Machinic Neoplatonism.
Philosophy & Technology, 31(2),
pp. 253-272.
ISSN 2210-5433
[Article]
McQuillan, Daniel.
2018.
People's Councils for Ethical Machine Learning.
Social Media + Society, 4(2),
[Article]
2017
McQuillan, Daniel.
2017.
The Anthropocene, Resilience and Post-Colonial Computation.
Resilience: International Policies, Practices and Discourses, 5(2),
pp. 92-109.
ISSN 2169-3293
[Article]
2016
McQuillan, Daniel.
2016.
Algorithmic paranoia and the convivial alternative.
Big Data & Society, 3(2),
ISSN 20539517
[Article]
2015
McQuillan, Daniel.
2015.
Algorithmic States of Exception.
European Journal of Cultural Studies, 18(4/5),
pp. 564-576.
ISSN 1367-5494
[Article]
2014
McQuillan, Daniel.
2014.
The Countercultural Potential of Citizen Science.
M/C Journal, 17(6),
[Article]