A capitalist contest: the AI industry v. the creative industries

This paper examines whether artificial intelligence industry developers of large language models should be permitted to use copyrighted works to train their models without permission and compensation to creative industries rightsholders. This is examined in the UK context by contrasting a dominant social imaginary that prioritises market driven-growth of generative artificial intelligence applications that require text and data mining, and an alternative imaginary emphasising equity and non-market values. Policy proposals, including licensing, are discussed. It is argued that current debates privilege the interests of Big Tech in exploiting online data for profit, neglecting policies that could help to ensure that technology innovation and creative labour both contribute to the public good.

Authors

Publication Details

Journal
Journal of the British Academy
Published
2025-09-18
DOI
https://doi.org/10.5871/jba/013.a38
Citations
1
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
2.48
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article

A capitalist contest: the AI industry v. the creative industries

Robin Mansell
1 citations
Journal of the British Academy
Law, AI, and Intellectual Property
2.48
article

A capitalist contest: the AI industry v. the creative industries

Robin Mansell
article en
1 citations

Abstract

This paper examines whether artificial intelligence industry developers of large language models should be permitted to use copyrighted works to train their models without permission and compensation to creative industries rightsholders. This is examined in the UK context by contrasting a dominant social imaginary that prioritises market driven-growth of generative artificial intelligence applications that require text and data mining, and an alternative imaginary emphasising equity and non-market values. Policy proposals, including licensing, are discussed. It is argued that current debates privilege the interests of Big Tech in exploiting online data for profit, neglecting policies that could help to ensure that technology innovation and creative labour both contribute to the public good.

Journal of the British AcademyVol. 13
Openalex Percentile: Top 9%
Law, AI, and Intellectual Property
2.48
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