Suno AI and musings of copyright: An enquiry into fair learning and infringement analysis of generative AI creation
Abstract Music is a language that is spoken between the performer and the listener. Platforms like SUNO AI have enabled even non‐musicians to create music and don the hats of composers by giving few prompts without understanding the language in the first place This has disrupted copyright's traditional understanding of music and infringement. It has also raised a fundamental question, is music a product? or is it a process? The Authors of this paper have analysed the quandary by creating ‘music’ using SUNO AI, and by performing infringement analysis of the created song through another AI platform MIPPIA to understand the complex terrain of infringement analysis of generative AI. Through this paper, the Authors have examined whether the training of AI platforms constitute copyright infringement especially in the case of musical copyright.
Abstract Music is a language that is spoken between the performer and the listener. Platforms like SUNO AI have enabled even non‐musicians to create music and don the hats of composers by giving few prompts without understanding the language in the first place This has disrupted copyright's traditional understanding of music and infringement. It has also raised a fundamental question, is music a product? or is it a process? The Authors of this paper have analysed the quandary by creating ‘music’ using SUNO AI, and by performing infringement analysis of the created song through another AI platform MIPPIA to understand the complex terrain of infringement analysis of generative AI. Through this paper, the Authors have examined whether the training of AI platforms constitute copyright infringement especially in the case of musical copyright.
Executive Summary
This article explores the intersection of copyright law and generative AI, specifically in the context of music creation. The authors utilize SUNO AI to generate music and then analyze potential infringement using MIPPIA. The study delves into the question of whether training AI platforms constitutes copyright infringement, particularly for musical works. The research aims to clarify the complex terrain of infringement analysis in generative AI, raising fundamental questions about the nature of music as a product or process.
Key Points
- ▸ The use of SUNO AI to generate music without traditional understanding of music language
- ▸ Infringement analysis of generated music using MIPPIA
- ▸ Examination of whether AI training constitutes copyright infringement
Merits
Innovative Methodology
The authors' approach to creating music with SUNO AI and analyzing infringement with MIPPIA offers a unique and practical perspective on the issue.
Demerits
Limited Generalizability
The study's focus on a specific AI platform and music genre may limit the applicability of its findings to other contexts.
Expert Commentary
The article contributes to the ongoing debate about the intersection of copyright law and generative AI. The authors' innovative approach highlights the complexities of infringement analysis in AI-generated music, underscoring the need for nuanced and context-specific considerations. As AI-generated content becomes increasingly prevalent, it is essential to develop clear guidelines and regulations that balance the rights of creators with the potential benefits of AI-driven innovation. Further research is necessary to fully explore the implications of AI-generated works on copyright law and to inform evidence-based policy decisions.
Recommendations
- ✓ Policymakers should establish clear guidelines on copyright infringement in AI-generated works
- ✓ Further research should be conducted to explore the implications of AI-generated music on the music industry and copyright law