Law & Legal Studies

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

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

It is high time to re-evaluate the existing copyright and intellectual property rights (IPR) frameworks due to the rapid integration of generative AI (GenAI) into industries and society that can easily replicate or transform copyrighted materials, raising ethical and legal concerns.

Authors

Adil S. Al-Busaidi, Innovation and Technology Transfer Center, Sultan Qaboos University, AlKoudh, Muscat, Oman; Department of Business Communication, Sultan Qaboos University, AlKoudh, Muscat, Oman

Raghu Raman, Amrita School of Business, Amrita Vishwa Vidyapeetham, Amritapuri, Kerala 690525, India

Laurie Hughes, School of Business and Law, Edith Cowan University, JO 2.331, 270 Joondalup Drive, Joondalup WA 6027, Australia

Mousa Ahmed Albashrawi, IRC for Finance and Digital Economy, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia; ISOM Department, KFUPM Business School, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia

Tegwen Malik, Digital Futures for Sustainable Business & Society Research Group, School of Management, Swansea University Bay Campus, Wales, UK

Yogesh K. Dwivedi, ISOM Department, KFUPM Business School, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia; IRC for Finance and Digital Economy, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia

Thuraiya Al- Alawi, Innovation and Technology Transfer Center, Sultan Qaboos University, AlKoudh, Muscat, Oman

Mohammed AlRizeiqi, Innovation and Technology Transfer Center, Sultan Qaboos University, AlKoudh, Muscat, Oman

Gareth Davies, Institute of Management and Health, University of Wales Trinity Saint David, Wales, UK

Mark Fenwick, Faculty of Law, Kyushu University, Fukuoka, Japan

Parul Gupta, Business and Corporate Law, Management Development Institute Gurgaon, Mahrauli Road, Gurugram, Haryana, 122007, India

Shashikala Gurpur, Symbiosis International (Deemed University), India

Apeksha Hooda, Assistant Professor, Jindal Global Business School, O P Jindal Global University, Sonipat, Haryana, India

Paulius Jurcys, Vilnius University Law Faculty, Lithuania

Daryl Lim, Penn State Dickinson Law, Carlisle, Pennsylvania, USA

Nicola Lucchi, University Pompeu Fabra, Barcelona, Spain

Tanvi Misra, Intellectual Property Lawyer with Expertise in Copyright Policy and Governance, Consulting with Governments and Private Agencies, Delhi, India

Ramakrishnan Raman, Symbiosis International (Deemed University), India

Anuragini Shirish, Université Paris-Saclay, Univ Evry, IMT-BS, LITEM, 91025, Evry-Courcouronnes, France

Paul Walton, Capgemini UK Ltd, UK

Summary

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 in: Journal of Innovation & Knowledge

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