Submit your papersSubmit Now
For Enquiries: [email protected]
IIARD LogoIIARD
📄 Download Paper

An Intellectual Property Approach to the Use of Generative AI

Daniel Chibuike Okoro

Abstract

The advent of many technologically powered inventions has not only made living easier but has aided the convenience of doing business in the digital age. Technological models like generative artificial intelligence, also known as generative AI, are now adopted by many businesses to stimulate their creative processes. Content generation has now been made easier as this is rapidly becoming the strength of the 21st-century business economy. As we enjoy the assistance rendered by generative artificial intelligence tools, we must address the concerns that emanate from this technology. One broad area that is worthy of note is the intellectual property concerns in the use of generative AI. This is pertinent to discuss because some of these AI models are trained on data that have, in recent times, been challenged due to the proprietary interest in such works. Also, the challenge that comes with determining the ownership of AI- generated content, amongst other things, needs to be addressed. This research aims to give an exposition into the interface between these areas, discussing the conundrum that arises in this interface and proffering a balance to ensure mutual coexistence. The study found that as the world is moving and innovation is increasing, policies to balance this surge in innovation must be made proactively too. Legislative silence and dormancy will affect judicial capacity and that is not good for any country. The legal landscape must evolve to balance AI innovation with fair intellectual property protections. To achieve this, governments should prioritize the development of comprehensive legislation that addresses AI-generated content and its ownership. Additionally, collaboration between legal experts, technologists, and policymakers is essential to ensure laws remain adaptive and relevant as AI continues to evolve.

Keywords

Artificial IntelligenceGenerative IntelligenceIntellectual PropertyTrademarksPatents.

References

Abbott, R. (2022). Artificial Inventors: The patent law implications of AI-generated inventions. Harvard Journal of Law & Technology, 35(2), 123–147. Ahn, S., Kim, J., & Lee, C. (2023). AI-assisted drug discovery: Patent considerations and legal challenges. Nature Biotechnology, 41(1), 45–58. Alexander, B., Blandin, A., & Deming, D. (2025, February 27). The impact of generative AI on work productivity. St. Louis Fed On the Economy. BBC News. (2023). The New York Times files lawsuit against OpenAI over copyright issues (A. Satariano, Author). European Commission. (2023). EU AI Act: Rules for artificial intelligence in the European Union. European Patent Office (EPO). (2021). Patentability and artificial intelligence: Guidelines for examination. Goodfellow, I., Bengio, Y., & Courville, A. (2014). Deep learning. MIT Press. Gupta, R., Tiwari, S., & Chaudhary, P. (2025). Generative AI techniques and models. In Generative AI: Techniques, models and applications (Vol. 241). Springer. https://doi.org/10.1007/978-3-031-82062-5_3 Huang, Y., Zhou, L., & Wang, J. (2022). AI in engineering: The role of machine learning in design patents. IEEE Transactions on Engineering Management, 69(3), 345–360. Ikwuo, A. K., Nworie, G. O., & Moedu, V. O. (2024). Implementation of AI-driven automation: A game-changer in accounting research. International Journal of Financial, Accounting, and Management, 6(3), 385-398. Jumper, J., Evans, R., Pritzel, A., & Hassabis, D. (2021). AlphaFold: Solving the protein folding problem with AI. Nature, 596(7873), 583–589. Lodish, J., Patel, R., & Green, M. (2023). AI-driven innovation: Patent law challenges and solutions. Journal of Intellectual Property Law, 41(2), 157–176. Luan, H., Chen, X., & Zhang, Y. (2022). AI-generated code and software patents: Challenges and policy proposals. Journal of Intellectual Property Law, 29(1), 90–115. Mallikarjuna, B., & Chittemsetty, P. (2024). Generative artificial intelligence: Fundamentals and evolution. In Raza, K., Ahmad, N., & Singh, D. (Eds.), Generative AI: Current trends and applications (Vol. 1177). Springer. https://doi.org/10.1007/978-981-97- 8460-8_1 McLaughlin, S., Thompson, H., & Li, J. (2022). Artificial inventors: How AI is transforming the patent system. Harvard Law Review, 136(5), 1–28. Mmadubuobi, L. C., Nworie, G. O., & Aziekwe, O. P. (2024). Industry 4.0 and Corporate Technological Responsibility of Manufacturing Firms in Nigeria. Central Asian Journal of Innovations on Tourism Management and Finance, 5(4), 67-80. Patel, K., Zhang, L., & Wong, E. (2023). AI-assisted innovations and the future of patent duration. Stanford Technology Law Review, 22(1), 77–98. Roose, K. (2023). Authors sue OpenAI for copyright violations. The New York Times. Rossi, D., Hernandez, P., & Kim, S. (2023). Transparency in AI-generated patents: A legal perspective. Yale Journal of Law & Technology, 45(3), 208–239. Storey, V. C., Yue, W. T., & Zhao, J. L. (2025). Generative artificial intelligence: Evolving technology, growing societal impact, and opportunities for information systems research. Information Systems Frontiers. https://doi.org/10.1007/s10796-025-10581-7 Thaler, S. (2022). DABUS and AI inventorship: The legal battle for machine creativity. Journal of Artificial Intelligence and Law, 15(2), 201–222. Thomas, D. M., & Mathur, S. (2019, June). Data analysis by web scraping using python. In 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA) (pp. 450-454). IEEE. Tu, X., He, Z., Huang, Y., et al. (2024). An overview of large AI models and their applications. Visual Intelligence, 2, 34. https://doi.org/10.1007/s44267-024-00065-8 U.S. Copyright Office. (2023). Copyright registration for AI-generated works. U.S. Patent and Trademark Office (USPTO). (2021). Report on artificial intelligence and intellectual property rights. UK Intellectual Property Office (UKIPO). (2022). AI and patents: The future of inventorship. USPTO. (2022). Thaler v. Vidal decision on AI inventorship. Vincent, J. (2023). Getty Images sues Stability AI over unauthorized use of copyrighted photos. The Verge. Yu, P. (2021). AI and copyright: A comparative perspective. Harvard Journal of Law & Technology, 34(1), 22–65.

More Articles from WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY

AI-Assisted Risk and Incident Analysis: Advances and Future Opportunities

Author: Uchechi Mary-Linda Unamma, Ifeanyichukwu Jeffrey Okwesa, Serif Oyindamola, Oyesiji, Abubakar Umar Abdulmalik

Influence of Artificial Intelligence Tools on Teachers’ Instructional Delivery in Public Senior Secondary Schools in Gokana and Khana Local Government Areas of Rivers State, Nigeria

Author: BIIBALOO Juliet Legborsi, EDO Barineka Lucky, PhD NWILE Charles Befii, PhD.

Community-Centered Digital Skills: Empowering Adults for Life- Long-Learning in Yola North Local Government Area

Author: Adamu Abdullahi Potiskum, Emeka Godwin Timothy, Lawan Ladan

Dielectric Performance of Natural Ester Insulating Fluids as a Sustainable Alternative to Mineral Transformer Oil: A Systematic Review

Author: Ude Kingsley Okechukwu, Ugwu Kelvin Ikechukwu, Mmamel Ngozi Juliana, Nnamani, Micheal Obiora

Artificial Intelligence and Inclusive Practices in Special Needs Education: Opportunities, Challenges, and Future Directions

Author: Rahima Ahmadu Ribadu, Bobboi Abubakar