MANAGEMENT OF AI-GENERATED MUSIC INTELLECTUAL PROPERTY

The recent dramatic improvement of artificial intelligence (AI) in creative fields has transformed the production of music, raising complicated issues of intellectual property (IP) rights. In this paper, the author discusses the legal and ethical issues surrounding the management of AI-generated music in the current legal context. It starts by describing the concept of AI-generated music and the technology of deep-learning and neural network that makes this kind of autonomous composition possible. An analysis of human and AI publications shows that the basic foundations of creativity, intent, and originality, the core criteria of the IP law, are different. This paper is a critical analysis of the existing copyright regimes, pointing out the fact that they are ineffective in assigning ownership and authorship to the non human creators. It explores the issue of whether rights ought to belong to the developer, the user or is it unprotected under the existing current doctrine. The interpretation of AI authorship and ownership in courts of various jurisdictions by legal precedents is examined, and the consideration of ethical issues of creative attribution is presented. In addition, the paper examines the systems of licensing and shared rights ownership of AI generated content, as well as the necessity to develop reasonable structures that would equitably allocate royalties. Examples of major legal cases provided insights into how this can be applied in practice and new trends in resolving disputes. Lastly, the study assesses policy and regulatory reactions in the international organizations including WIPO, EU, and U.S. agencies giving suggestions of adapting models that consider both innovation and protection of creative rights. By doing this thorough investigation, the paper supports the idea of a balanced global policy that will ensure the ability to adapt to technological changes and preserve artistic integrity and economic justice through AI-generated music.