AI-Generated Content and Copyright Infringement: A Legal Analysis of OpenAI's Practices and Global IPR Challenges
Generative AI technologies, such as OpenAI’s ChatGPT and DALL·E, are experiencing rapid growth. They have become the force which is disrupting the whole system of traditional intellectual property (IP) and have raised serious questions about authorship, ownership and the violation of rights. This paper is exploring the main challenges and dangers of AI-generated content in the legal and ethical spheres of copyright, trademark, and patent laws, and it explicitly points out the irrevocable weakness of the currently existing IP regimes tailored for human creativity. Focusing on the world at large, the research aims to shed light on the main questions that are: is it legal to use copyrighted works for the training of an AI system, can the results of the AI system violate the rights of protected works, and at what point the distinction between inspiration and replication becomes less and less clear with time. The cases of OpenAI and Perplexity AI, the lawsuits against these, perfectly serve as examples of the problems of adapting the copyright doctrines like fair use and substantial similarity which were originally meant for human-made works only to the AI-generated ones. Furthermore, there is a discussion of the issues that AI’s impact has on creative industries, in particular the paper proposes solutions to such problems, for example, the models of collective licensing and the obligation of transparency for the AI developers. This study, through the utilisation of a comparative legal study, has positioned the legal regimes of various countries such as the U.S., EU, UK, Indonesia, China, and India to highlight the weak points in the IP law and the need for international law adjustment. This paper primarily stresses the importance of the broadening of the copyright concepts so that they can be consistent with the AI-induced renaissance of creativity and economic growth while ensuring the usefulness of the working profiles of the parliamentarians and the judicial officers who are leading this field.
Institutions
- Vellore Institute of Technology University (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-25
- DOI
- https://doi.org/10.5281/zenodo.15514189
- Primary Topic
- Law, AI, and Intellectual Property
- Type
- article
- Field-Weighted Citation Impact
- 0.00