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

Westenberger, P. & Farmaki, D. ORCID: 0000-0002-5401-2926 (2025). Artificial intelligence for cultural heritage research: the challenges in UK copyright law and policy. European Journal of Cultural Management and Policy, 15, article number 14009. doi: 10.3389/ejcmp.2025.14009

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.

Publication Type: Article
Additional Information: © 2025 Westenberger and Farmaki. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Publisher Keywords: cultural heritage, research, artificial intelligence, copyright, text and data mining
Subjects: K Law > K Law (General)
Departments: The City Law School
The City Law School > Academic Programmes
SWORD Depositor:
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