Reimagining Copyright: Analyzing Intellectual Property Rights in Generative AI

Pattabiraman Vivek

doi:10.17821/srels/2024/v61i6/171646

Authors

Pattabiraman Vivek
RR Institute of Management Studies, Chikkabanavara, Bengaluru – 560090, Karnataka

DOI:

https://doi.org/10.17821/srels/2024/v61i6/171646

Keywords:

Chat GPT, Copyright, Generative AI, Intellectual Property Rights

Abstract

Generative Artificial Intelligence (Generative AI) is completely turning the workforce upside down. This can be mainly attributed to the efficiency it brings to the organisation and educational institutions. With rapid digital developments observed across the globe, Generative AI is currently shaping the way people work. Mundane and repetitive tasks are now handled by AI applications such as Chat GPT which is helping organisations to cut costs directly. However, it is also important to understand the impact of Generative AI on the creative economy sector. Idea-expression dichotomy and the substantial similarity test for infringement are the two major aspects of the Copyright legal doctrines that are challenged by AI-generated content. The question which is raised is regarding the ownership of the training data set used in the Generative AI model. This will decide the degree of ownership of the content produced using the Generative AI model. The training data set is essentially used to draw comparisons with its existing information to create new content based on the human input received. In theory, copyright law does not put a restriction on ideas but more on how it is expressed. Due to this, legal battles are fought by many content creators with AI companies on the ownership of the content produced. The Generative AI models have the training data in the form of a mathematical model which helps to recreate any picture, sound or text based on the human input received. So, it is very important to understand the current landscape of AIgenerated content and its implications on Intellectual Property Rights.

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References

Campbell, V. (2016). Authors Guild v uthors Guild v. Google, Inc., 804 F . Google, Inc., 804 F.3d 202 (S.D .3d 202 (S.D.N.Y. Oct. 16, 2015) . Oct. 16, 2015), DePaul Journal of Art, Technology and Intellectual Property Law, 27(1), 1-14.

Chatterjee, M. (2019). Intellectual property, independent creation, and the Lockean Commons. 12 UC Irvine Law Review, 747. https://dx.doi.org/10.2139/ssrn.3327897

Chesterman, S. (2024). Good models borrow, great models steal: Intellectual property rights and generative AI. Policy and Society, Article puae006. https://dx.doi.org/10.1093/polsoc/puae006

Copyrightgov. (2022). Copyright Law of the United States and Related Laws Contained in Title 17 of the United States Code. https://www.copyright.gov/title17/

Guadamuz, A. (2023). A scanner darkly: Copyright liability and exceptions in artificial intelligence inputs and outputs. GRUR International, Forthcoming. https://dx.doi.org/10.2139/ssrn.4371204

Intellectual Property Office. (2022). Consultation outcome artificial intelligence and intellectual property: Copyright and patents. https://www.gov.uk/government/consultations/artificialintelligence-and-ip-copyright-and-patents/artificialintelligenceand-intellectual-propertycopyright-and-patents

Intellectual Property Office. (2024). Consultation outcome Artificial Intelligence call for views: Copyright and related rights. https://www.gov.uk/government/consultations/artificialintelligenceand-intellectual-property-call-for-views/artificial-intelligence-call-for-views-copyright-andrelatedrights

Lee, J, & Matulionyte, R. (2022). Copyright in AI-generated works: Lessons from recent developments in patent law. SCRIPTed: A Journal of Law, Technology and Society, 19(1). https://ssrn.com/abstract=3974280 legislation.gov.uk. (2024). Copyright, designs and patents Act 1988. https://www.legislation.gov.uk/ukpga/1988/48/section/9

Lemley, M. A. (2024). How generative AI turns copyright upside down. Science and Technology Law Review, 25(2). https://doi.org/10.52214/stlr.v25i2.12761

Intellectual Property Office of Singapore. (2022). Copyright factsheet on copyright act 2021. https://www.ipos.gov.sg/docs/default-source/resources-library/copyright/copyright-act-factsheet.pdf

Napitupulu, P. A., Sinaga, C. A. F., Hasugian, A. L. P. (2023). The implication of generative artificial intelligence towards intellectual property rights (Examining the multifaceted implications of generative artificial intelligence on intellectual property rights). West Science Law and Human Rights, 1(4), 274-284. http://dx.doi.org/10.58812/wslhr.v1i04.330

Parnagian, A. A. (2023). Should AI have Intellectual Property Rights? An Analysis of Copyright Law on Generative AI. https://digital.kenyon.edu/cgi/viewcontent.cgi?article=1038&context=dh_ iphs_ai

Powell, H. G., & Eddie, P. (2023). AI and art: how recent court cases are stretching copyright principles. https://www.theartnewspaper.com/2023/03/28/ai-and-art-how-recentcourtcases-are-stretching-copyright-principles

Seng, D. (2014). The state of the discordant union: An empirical analysis of DMCA takedown notices. Virginia Journal of Law and Technology, 18: 369-473. http://dx.doi.org/10.2139/ssrn.2411915

Smith, S. (2024). The copyright status of AI-generated works. https://www.infolaw.co.uk/newsletter/2022/09/thecopyright-status-of-ai-generated-works/.

Waldron, J. (2011). Hegel’s discussion of property. Oxford Academic. https://doi.org/10.1093/acprof:oso/9780198239376.003.0010

Wu, A. J. (1997). From video games to artificial intelligence: Assigning copyright ownership to works generated by increasingly sophisticated computer programs. AIPLA Quarterly Journal, 131-178.

Yang, S. A., & Zhang, A. H. (2024). Generative AI and Copyright: A dynamic perspective. SRRN. https://dx.doi.org/10.2139/ssrn.4716233