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http://bura.brunel.ac.uk/handle/2438/31190
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DC Field | Value | Language |
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dc.contributor.author | Westenberger, P | - |
dc.contributor.author | Farmaki, D | - |
dc.date.accessioned | 2025-05-08T16:19:28Z | - |
dc.date.available | 2025-05-08T16:19:28Z | - |
dc.date.issued | 2025 | - |
dc.identifier | ORCiD: Paula Westenberger https://orcid.org/0000-0003-3177-2946 | - |
dc.identifier.citation | Westenberger, 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, 0 (accepted, in press). doi: 10.3389/ejcmp.2025.14009. | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/31190 | - |
dc.description | In press. The final, formatted version of the article will be published soon. | en_US |
dc.description.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 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.sponsorship | ... | en_US |
dc.format.extent | 1 - 46 | - |
dc.format.medium | Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | Frontiers Media | en_US |
dc.rights | Creative Commons Attribution 4.0 International | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | cultural heritage | en_US |
dc.subject | research | en_US |
dc.subject | artificial intelligence | en_US |
dc.subject | copyright | en_US |
dc.subject | text and data mining | en_US |
dc.subject | United Kingdom | en_US |
dc.title | Artificial Intelligence for Cultural Heritage Research: the Challenges in UK Copyright Law and Policy | en_US |
dc.type | Article | en_US |
dc.date.dateAccepted | 2025-02-24 | - |
dc.identifier.doi | https://doi.org/10.3389/ejcmp.2025.14009 | - |
dc.relation.isPartOf | European Journal of Cultural Management and Policy | - |
pubs.publication-status | Accepted | - |
pubs.volume | 0 | - |
dc.identifier.eissn | 2663-5771 | - |
dc.rights.license | https://creativecommons.org/licenses/by/4.0/legalcode.en | - |
dcterms.dateAccepted | 2025-02-24 | - |
dc.rights.holder | Westenberger and Farmaki | - |
Appears in Collections: | Brunel Law School Embargoed Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | Embargoed until publication. Copyright: © 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) or licensor 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. | 1.04 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License