Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/31190
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dc.contributor.authorWestenberger, P-
dc.contributor.authorFarmaki, D-
dc.date.accessioned2025-05-08T16:19:28Z-
dc.date.available2025-05-08T16:19:28Z-
dc.date.issued2025-09-09-
dc.identifierORCiD: Paula Westenberger https://orcid.org/0000-0003-3177-2946-
dc.identifier.citationWestenberger, P. and Farmaki, D. (2025) 'Artificial intelligence for cultural heritage research: the challenges in UK copyright law and policy', European Journal of Cultural Management and Policy, 15, 14009, pp. 1 - 20. doi: 10.3389/ejcmp.2025.14009.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/31190-
dc.description.abstractArtificial 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 materials may be used in AI development, training and use may use copyright protected materials, copyright law can may become an obstacle to such 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, establishing demonstrating the main copyright law and policy challenges facing cultural heritage professionals and researchers in using AI in the Unitedregulation 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.en_US
dc.description.sponsorshipThe author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Brunel Interdisciplinary Research Labs (BRIL); the Athena Swan Research Grant; and Bridging Responsible AI Divides (BRAID) with funds from the Arts and Humanities Research Council [grant number AH/X007146/1]. The BRIL funding supported the initial development of this research (including covering Research Assistantship costs). The research was further developed during Paula Westenberger’s Athena Swan Research leave, allowing further research and initial drafting to be conducted (including covering Research Assistantship costs). The final stage of research and writing up occurred thanks to Paula Westenberger’s BRAID Research Fellowship, when the paper was completed. The APCs for this publication were funded by the UKRI open access block grant.en_US
dc.format.extent1 - 20-
dc.format.mediumElectronic-
dc.language.isoen_USen_US
dc.publisherFrontiers Mediaen_US
dc.rightsCreative Commons Attribution 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectcultural heritageen_US
dc.subjectresearchen_US
dc.subjectartificial intelligenceen_US
dc.subjectcopyrighten_US
dc.subjecttext and data miningen_US
dc.subjectUnited Kingdomen_US
dc.titleArtificial Intelligence for Cultural Heritage Research: the Challenges in UK Copyright Law and Policyen_US
dc.typeArticleen_US
dc.date.dateAccepted2025-02-24-
dc.identifier.doihttps://doi.org/10.3389/ejcmp.2025.14009-
dc.relation.isPartOfEuropean Journal of Cultural Management and Policy-
pubs.publication-statusPublished online-
pubs.volume15-
dc.identifier.eissn2663-5771-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dcterms.dateAccepted2025-02-24-
dc.rights.holderWestenberger and Farmaki-
Appears in Collections:Brunel Law School Research Papers

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