The Intersection of Intellectual Property Rights and Artificial Intelligence

Abstract

This paper explores the intersection of intellectual property rights (IPR) and artificial intelligence (AI), emphasizing the challenges and opportunities presented by AI technologies in relation to existing IPR frameworks. As AI systems increasingly generate original works across various domains, including art, literature, and technology, traditional notions of authorship and ownership are being challenged. The study categorizes IPR into copyrights, patents, trademarks, and trade secrets, discussing how each type interacts with AI innovations. It highlights the complexities surrounding copyright law, particularly regarding AI-generated content and the question of whether machines can be considered authors. Furthermore, the paper examines the implications of machine learning and deep learning technologies, which can create new forms of innovation but also complicate existing legal protections. The analysis underscores the need for updated legal frameworks that address the unique characteristics of AI-generated works while fostering innovation and investment in AI technologies. The findings advocate for a collaborative approach among policymakers, technologists, and legal experts to develop a regulatory environment that supports both the protection of intellectual property and the advancement of AI capabilities.

Keywords

intellectual property rights, artificial intelligence, copyright, patents, machine learning, legal frameworks, innovation, authorship