Johnson, A. orcid.org/0000-0002-2772-2535 (2024) Generative AI, UK Copyright and Open Licences: considerations for UK HEI copyright advice services [version 1; peer review: 2 approved]. F1000Research, 13. 134. ISSN 2046-1402
Abstract
With the enormous growth in interest and use of generative artificial intelligence (AI) systems seen since the launch of ChatGPT in autumn 2022 have come questions both about the legal status of AI outputs, and of using protected works as training inputs. It is inevitable that UK higher education institution (HEI) library copyright advice services will see an increase in questions around use of works with AI as a result. Staff working in such library services are not lawyers or able to offer legal advice to their academic researchers. Nonetheless, they must look at the issues raised, consider how to advise in analogous situations of using copyright material, and offer opinion to researchers accordingly. While the legal questions remain to be answered definitively, copyright librarians can still offer advice on both open licences and use of copyright material under permitted exceptions. We look here at how library services can address questions on copyright and open licences for generative AI for researchers in UK HEIs.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 Johnson A. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/ |
Keywords: | copyright; artificial intelligence; AI; generative AI systems; open access; open licences |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Administrative Services (Sheffield) > Library (Sheffield) The University of Sheffield > Professional Services (Sheffield) > Library (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 22 Feb 2024 15:39 |
Last Modified: | 20 May 2024 15:28 |
Status: | Published |
Publisher: | F1000 Research Ltd |
Refereed: | Yes |
Identification Number: | 10.12688/f1000research.143131.1 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:209529 |
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