The Implication of Generative Artificial Intelligence towards Intellectual Property Rights (Examining the Multifaceted Implications of Generative Artificial Intelligence on Intellectual Property Rights)
DOI:
https://doi.org/10.58812/wslhr.v1i04.330Keywords:
Artificial Intelligence, Generative AI, Intellectual Property Right, Copyright, Ethical IssuesAbstract
Generative Artificial Intelligence (Generative AI) is transforming content creation, enabling faster and cheaper production of text, images, and more. However, it raises complex issues regarding intellectual property rights and ownership. This article explores the evolving landscape of AI-generated content, focusing on its alignment with existing intellectual property regulations. It delves into legal disputes exemplified by cases like Getty Images, INC. v. Stability AI, INC, and Doe v. Github, INC, which highlight the challenges of AI-generated content regarding intellectual property. The article also discusses the impact on the creative sector and offers recommendations, including the need for ethical guidelines, education, hybrid collaboration, public involvement, and international cooperation. Addressing these challenges is crucial to harmonize intellectual property rights and maximize the benefits of AI in content creation.
References
S. Chesterman, “Good Models Borrow, Great Models Steal: Intellectual Property Rights and Generative AI.” Rochester, NY, Oct. 11, 2023. doi: 10.2139/ssrn.4590006.
A. Parnagian, “Should AI have Intellectual Property Rights? An Analysis of Copyright Law on Generative AI”.
Brown, T, Mann, B, Ryder, N, Subbiah, M, Kaplan, JD, Dhariwal, P, Neelakantan, A, Shyam, P, Sastry, G, Askell, A, Agarwal, S, Herbert-Voss, A, Krueger, G, Henighan, T, Child, R, Ramesh, A, Ziegler, D, Wu, J, Winter, C, Hesse, C, Chen, M, Sigler, E, Litwin, M, Gray, S, Chess, B, Clark, J, Berner, C, McCandlish, S, Radford, A, Sutskever, I and Amodei, D (2020) Language models are few-shot learners. In NeurIPS. Online: Curran Associates, Inc.Vol. 33, pp. 1877–1901.Google Scholar
Goodfellow, I, Bengio, Y and Courville, A (2016) Deep Learning. Cambridge, MA: MIT Press.
Mark A. Lemley and Bryan Casey, Fair Learning, 99 TEX. L. REV. 743, 745 (2021)
17 U.S.C. § 102 (2020).
What Americans Know About Everyday Uses of Artificial Intelligence | Pew Research Center. (2023, February 15). Retrieved October 26, 2023, from https://www.pewresearch.org/science/2023/02/15/public-awareness-of-artificial-intelligence-in-everyday-activities/
Chesterman, S. (2023). Good Models Borrow, Great Models Steal: Intellectual Property Rights and Generative AI. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4590006
Experience, W. L. in R.-B. U. (n.d.). AI Improves Employee Productivity by 66%. Nielsen Norman Group. Retrieved October 26, 2023, from https://www.nngroup.com/articles/ai-tools-productivity-gains/
García-Peñalvo, F., & Vázquez-Ingelmo, A. (2023). What Do We Mean by GenAI? A Systematic Mapping of The Evolution, Trends, and Techniques Involved in Generative AI. International Journal of Interactive Multimedia and Artificial Intelligence, In Press(In Press), 1. https://doi.org/10.9781/ijimai.2023.07.006
Generative AI – Innovate Faster with Foundation Models—AWS. Amazon Web Services, Inc. Retrieved October 26, 2023, from https://aws.amazon.com/generative-ai/
How Many AI Companies Are There? (2023). (2023, July 10). Exploding Topics. https://explodingtopics.com/blog/number-ai-companies
How many hours are employees saving using AI each day? (2023, July 11). Retrieved October 26, 2023, from https://www.hcamag.com/asia/specialisation/hr-technology/how-many-hours-are-employees-saving-using-ai-each-day/452318
Jones, P. (2023). Generative artificial intelligence (ChatGPT): Implications for management educators. The International Journal of Management Education, 21(3), 100857.
Lemley, M. A. (2023). How Generative Ai Turns Copyright Law on its Head (SSRN Scholarly Paper 4517702). https://doi.org/10.2139/ssrn.4517702
Malik, T. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642.
Martin, N.. INDIGENOUS RIGHTS: AN ANALYSIS OF INTELLECTUAL PROPERTY PROTECTIONS. S s.
Parnagian, A. Should AI have Intellectual Property Rights? An Analysis of Copyright Law on Generative AI.
Publications. Retrieved October 26, 2023, from https://www.cis.upenn.edu/~ccb/publications.html
Sætra, H. S. (2023). Generative AI: Here to stay, but for good? Technology in Society, 75, 102372. https://doi.org/10.1016/j.techsoc.2023.102372
Sandiumenge, I. (2023). Copyright Implications of the Use of Generative AI (SSRN Scholarly Paper 4531912). https://doi.org/10.2139/ssrn.4531912
Should We Ban Generative AI, Incentivise it or Make it a Medium for Inclusive Creativity? By Giancarlo Frosio: SSRN. (n.d.). Retrieved October 26, 2023, from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4527461
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