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Redefining boundaries in innovation and knowledge domains: Investigating the impact of generative artificial intelligence on copyright and intellectual property rights

Adil S. Al-Busaidi Orcid Logo, Raghu Raman Orcid Logo, Laurie Hughes, Mousa Ahmed Albashrawi, Tegwen Malik Orcid Logo, Yogesh Dwivedi, Thuraiya Al- Alawi, Mohammed AlRizeiqi Orcid Logo, Gareth Davies, Mark Fenwick, Parul Gupta, Shashikala Gurpur, Apeksha Hooda, Paulius Jurcys, Daryl Lim, Nicola Lucchi, Tanvi Misra, Ramakrishnan Raman, Anuragini Shirish, Paul Walton

Journal of Innovation & Knowledge, Volume: 9, Issue: 4, Start page: 100630

Swansea University Authors: Tegwen Malik Orcid Logo, Yogesh Dwivedi

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DOI (Published version): 10.1016/j.jik.2024.100630

Abstract

The rapid integration of generative AI (GenAI) into industries and society has prompted a re-evaluation of copyright and intellectual property rights (IPR) frameworks. GenAI's ability to produce original content using data from human-created sources raises critical ethical and legal concerns. C...

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Published in: Journal of Innovation & Knowledge
ISSN: 2530-7614 2444-569X
Published: Elsevier BV 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa68397
first_indexed 2024-11-29T19:47:12Z
last_indexed 2025-02-14T05:45:22Z
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spelling 2025-02-13T12:35:27.3537486 v2 68397 2024-11-29 Redefining boundaries in innovation and knowledge domains: Investigating the impact of generative artificial intelligence on copyright and intellectual property rights d7e74f3c3979dff2baba1a16fe50e24a 0000-0003-4315-5726 Tegwen Malik Tegwen Malik true false d154596e71b99ad1285563c8fdd373d7 Yogesh Dwivedi Yogesh Dwivedi true false 2024-11-29 CBAE The rapid integration of generative AI (GenAI) into industries and society has prompted a re-evaluation of copyright and intellectual property rights (IPR) frameworks. GenAI's ability to produce original content using data from human-created sources raises critical ethical and legal concerns. Current copyright and IPR frameworks, designed around human authorship, are insufficient to address these challenges. This study, using a multi-perspective approach, explores GenAI's disruptive potential in replicating or transforming copyrighted materials, challenging established IPR norms. Findings highlight gaps in legislation and the opacity of GenAI platforms. To address these issues, this study presents a Dynamic Ethical Framework linked to a future global fair use policy, aiming to guide responsible GenAI development and use. By incorporating insights from domain experts, this study contextualizes emerging challenges and potential solutions within broader societal and technological trends. That said, this study calls for international collaboration and further research to reform IPR related laws and frameworks, ensuring they remain relevant and equitable in a GenAI-driven era. Journal Article Journal of Innovation & Knowledge 9 4 100630 Elsevier BV 2530-7614 2444-569X ChatGPT; Generative artificial intelligence; GenAI; Generative scholar; Innovation; Intellectual property (IP) Risks; Large language models (LLMs); Misuse case analysis; Personality rights 31 12 2024 2024-12-31 10.1016/j.jik.2024.100630 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University Another institution paid the OA fee 2025-02-13T12:35:27.3537486 2024-11-29T13:43:25.2413812 Faculty of Humanities and Social Sciences School of Management - Business Management Adil S. Al-Busaidi 0000-0002-0959-7419 1 Raghu Raman 0000-0002-0851-9742 2 Laurie Hughes 3 Mousa Ahmed Albashrawi 4 Tegwen Malik 0000-0003-4315-5726 5 Yogesh Dwivedi 6 Thuraiya Al- Alawi 7 Mohammed AlRizeiqi 0000-0002-6288-8370 8 Gareth Davies 9 Mark Fenwick 10 Parul Gupta 11 Shashikala Gurpur 12 Apeksha Hooda 13 Paulius Jurcys 14 Daryl Lim 15 Nicola Lucchi 16 Tanvi Misra 17 Ramakrishnan Raman 18 Anuragini Shirish 19 Paul Walton 20 68397__33297__2bd9aac05a354dc3ba31d5fe45abc2fa.pdf 68397.VoR.pdf 2025-01-13T13:15:59.3895966 Output 2662362 application/pdf Version of Record true © 2024 The Authors. This is an open access article under the CC BY-NC-ND license. true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title Redefining boundaries in innovation and knowledge domains: Investigating the impact of generative artificial intelligence on copyright and intellectual property rights
spellingShingle Redefining boundaries in innovation and knowledge domains: Investigating the impact of generative artificial intelligence on copyright and intellectual property rights
Tegwen Malik
Yogesh Dwivedi
title_short Redefining boundaries in innovation and knowledge domains: Investigating the impact of generative artificial intelligence on copyright and intellectual property rights
title_full Redefining boundaries in innovation and knowledge domains: Investigating the impact of generative artificial intelligence on copyright and intellectual property rights
title_fullStr Redefining boundaries in innovation and knowledge domains: Investigating the impact of generative artificial intelligence on copyright and intellectual property rights
title_full_unstemmed Redefining boundaries in innovation and knowledge domains: Investigating the impact of generative artificial intelligence on copyright and intellectual property rights
title_sort Redefining boundaries in innovation and knowledge domains: Investigating the impact of generative artificial intelligence on copyright and intellectual property rights
author_id_str_mv d7e74f3c3979dff2baba1a16fe50e24a
d154596e71b99ad1285563c8fdd373d7
author_id_fullname_str_mv d7e74f3c3979dff2baba1a16fe50e24a_***_Tegwen Malik
d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi
author Tegwen Malik
Yogesh Dwivedi
author2 Adil S. Al-Busaidi
Raghu Raman
Laurie Hughes
Mousa Ahmed Albashrawi
Tegwen Malik
Yogesh Dwivedi
Thuraiya Al- Alawi
Mohammed AlRizeiqi
Gareth Davies
Mark Fenwick
Parul Gupta
Shashikala Gurpur
Apeksha Hooda
Paulius Jurcys
Daryl Lim
Nicola Lucchi
Tanvi Misra
Ramakrishnan Raman
Anuragini Shirish
Paul Walton
format Journal article
container_title Journal of Innovation & Knowledge
container_volume 9
container_issue 4
container_start_page 100630
publishDate 2024
institution Swansea University
issn 2530-7614
2444-569X
doi_str_mv 10.1016/j.jik.2024.100630
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 1
active_str 0
description The rapid integration of generative AI (GenAI) into industries and society has prompted a re-evaluation of copyright and intellectual property rights (IPR) frameworks. GenAI's ability to produce original content using data from human-created sources raises critical ethical and legal concerns. Current copyright and IPR frameworks, designed around human authorship, are insufficient to address these challenges. This study, using a multi-perspective approach, explores GenAI's disruptive potential in replicating or transforming copyrighted materials, challenging established IPR norms. Findings highlight gaps in legislation and the opacity of GenAI platforms. To address these issues, this study presents a Dynamic Ethical Framework linked to a future global fair use policy, aiming to guide responsible GenAI development and use. By incorporating insights from domain experts, this study contextualizes emerging challenges and potential solutions within broader societal and technological trends. That said, this study calls for international collaboration and further research to reform IPR related laws and frameworks, ensuring they remain relevant and equitable in a GenAI-driven era.
published_date 2024-12-31T08:14:53Z
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score 11.056659

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