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Collective Ownership of AI
Stockholm University, Faculty of Social Sciences, Department of Political Science. Institute for Futures Studies, Sweden.ORCID iD: 0000-0002-2378-750x
Number of Authors: 12025 (English)In: A Companion to Applied Philosophy of AI / [ed] Martin Hähnel; Regina Müller, Hoboken: Wiley-Blackwell, 2025, p. 372-386Chapter in book (Refereed)
Abstract [en]

AI technology promises to be both the most socially important and the most profitable technology of a generation. At the same time, the control over – and profits from – the technology is highly concentrated to a handful of large tech companies. This chapter discusses whether bringing AI technology under collective ownership and control is an attractive way of counteracting this development.

It discusses justice-based rationales for collective ownership, such as the claim that, since the training of AI systems relies on a form of enclosing of the data commons, the value created by those systems should be fairly distributed. It also considers democracy-based rationales, like the suggestion that collective ownership is needed to ensure democratic control over the way this crucial technology is being developed and deployed. The chapter also discusses possible forms of collective ownership, like publicly funded advanced AI research and democratically controlled AI companies. It concludes that the case for shifting to a model with collective ownership is the most compelling when based on the concern that the private model could come to concentrate economic and political power to such a degree that it threatens institutions designed to promote justice and democracy.

Place, publisher, year, edition, pages
Hoboken: Wiley-Blackwell, 2025. p. 372-386
Keywords [en]
AI, AI governance, Collective ownership, Democracy, Distributive justice
National Category
Philosophy Political Science (Excluding Peace and Conflict Studies)
Identifiers
URN: urn:nbn:se:su:diva-247438DOI: 10.1002/9781394238651.ch26Scopus ID: 2-s2.0-105015789202ISBN: 9781394238620 (print)ISBN: 9781394238644 (electronic)ISBN: 9781394238637 (electronic)OAI: oai:DiVA.org:su-247438DiVA, id: diva2:2001901
Available from: 2025-09-29 Created: 2025-09-29 Last updated: 2025-09-29Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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