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

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.

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Publication Details

Journal
Journal of Innovation & Knowledge
Published
2024-10-01
DOI
https://doi.org/10.1016/j.jik.2024.100630
Citations
40
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
13.90
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article

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

Mark Fenwick, Nicola Lucchi, Paulius Jurčys, Parul Gupta et al.
40 citations
Journal of Innovation & Knowledge
Law, AI, and Intellectual Property
13.90
article

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

Mark Fenwick, Nicola Lucchi, Paulius Jurčys, Parul Gupta, Mousa Ahmad Albashrawi, Yogesh Kumar Dwivedi, Apeksha Hooda, Adil S. Al-Busaidi, Raghu Raman R, Gareth Davies, Shashikala Gurpur, Ramakrishnan Raman, Laurie Hughes, Daryl Lim, Anuragini Shirish, Tegwen Malik, Paul Walton, Tapan Misra, Mohammed Al Rizeiqi, Thuraiya Al- Alawi
article en
40 citations

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. 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 of Innovation & KnowledgeVol. 9(4)
Management Development Institute (IN), Edith Cowan University (AU), Dickinson College (US), King Fahd University of Petroleum and Minerals (SA), Kyushu University (JP), Universitat Pompeu Fabra (ES), Vilnius University (LT), Symbiosis International University (IN), Université Paris-Saclay (FR), Government of India (IN), Swansea University (GB), Vilnius University of Applied Sciences (LT), Capgemini (United Kingdom) (GB), O. P. Jindal Global University (IN), Capgemini (France) (FR), Laboratoire en Innovation, Technologies, Economie et Management (FR), Sultan Qaboos University (OM), Dickinson State University (US), Amrita Vishwa Vidyapeetham (IN), Université d'Évry Val-d'Essonne (FR), SASTRA University (IN), University of Wales Trinity Saint David (GB)
Openalex Percentile: Top 1%
Law, AI, and Intellectual Property
13.90
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