Artificial intelligence for cultural heritage research: the challenges in UK copyright law and policy

Artificial intelligence (AI) is revolutionising our relationship with cultural heritage, enhancing access to, engagement with and preservation of collections and heritage sites. AI is also being used as a valuable research tool in the context of heritage collections. However, as materials protected by copyright may be used in AI development, training and use, copyright law can become an obstacle to important AI deployments in the heritage sector, an area which is currently understudied from the United Kingdom (UK) perspective. This article explores the intricate interplay between cultural heritage, AI and copyright law, demonstrating the main copyright law and policy challenges facing cultural heritage professionals and researchers in using AI in the UK for heritage research. It highlights the complexity and uncertainties as regards the current Text and Data Mining exception in the UK Copyright, Designs and Patents Act 1988 (UK CDPA), emphasising the need for an improved legal framework that balances copyright protection with the benefits of AI for cultural heritage research and management. It also reveals the underrepresentation of the heritage sector in AI regulation and copyright policy discussions in the UK. This exploration underscores the imperative for an inclusive policy dialogue that considers the perspectives and evidence of the cultural heritage sector in its full breadth and diversity (including related researchers) in shaping copyright law reform and AI regulation, and for further research to be carried out in this field.

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Publication Details

Journal
European Journal of Cultural Management and Policy
Published
2025-09-09
DOI
https://doi.org/10.3389/ejcmp.2025.14009
Citations
2
Primary Topic
Archaeological Research and Protection
Type
article
Field-Weighted Citation Impact
14.92
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article

Artificial intelligence for cultural heritage research: the challenges in UK copyright law and policy

Despoina Farmaki, Paula Westenberger
2 citations
European Journal of Cultural Management and Policy
Archaeological Research and Protection
14.92
article

Artificial intelligence for cultural heritage research: the challenges in UK copyright law and policy

Despoina Farmaki, Paula Westenberger
article en
2 citations

Abstract

Artificial intelligence (AI) is revolutionising our relationship with cultural heritage, enhancing access to, engagement with and preservation of collections and heritage sites. AI is also being used as a valuable research tool in the context of heritage collections. However, as materials protected by copyright may be used in AI development, training and use, copyright law can become an obstacle to important AI deployments in the heritage sector, an area which is currently understudied from the United Kingdom (UK) perspective. This article explores the intricate interplay between cultural heritage, AI and copyright law, demonstrating the main copyright law and policy challenges facing cultural heritage professionals and researchers in using AI in the UK for heritage research. It highlights the complexity and uncertainties as regards the current Text and Data Mining exception in the UK Copyright, Designs and Patents Act 1988 (UK CDPA), emphasising the need for an improved legal framework that balances copyright protection with the benefits of AI for cultural heritage research and management. It also reveals the underrepresentation of the heritage sector in AI regulation and copyright policy discussions in the UK. This exploration underscores the imperative for an inclusive policy dialogue that considers the perspectives and evidence of the cultural heritage sector in its full breadth and diversity (including related researchers) in shaping copyright law reform and AI regulation, and for further research to be carried out in this field.

European Journal of Cultural Management and PolicyVol. 15
CUNY School of Law (US), Brunel University of London (GB)
Openalex Percentile: Top 2%
Archaeological Research and Protection
14.92
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