Diverse Attitudes Toward AI-Produced Music: A Case Study between Instrument Learners and Non-Instrument Learners in Yangtze River Delta Region

Abstract

Recently, with the gradual popularization of AI technology in music, AI music generation technology, as a tool, has triggered thoughts about the transformation of traditional music composition while enhancing the innovation and efficiency of music creation. This study aims to explore the different attitudes toward AI-generated music among instrumental and non-instrumental learners in the Yangtze River Delta region of China, so as to increase the knowledge of AI music composition technology. This study uses a questionnaire method to collect quantitative data, with semi-structured interviews as a qualitative supplement. It is found that most people are aware of AI music technology and express acceptance. The style, uniqueness, and quality of AI-generated works, as well as the convergence of the technology on traditional platforms, and copyright issues, are topics of concern. The differential impact of whether or not one has learned a musical instrument on attitudes towards AI music centers on personal preference. The low price of the service was a significant influencing factor for those who embraced the improved AI technology. In addition, instrumental learners placed more emphasis on the professionalism, artistry, and emotionality of AI music, while non-instrumental learners placed more emphasis on the technological convenience and affordability of AI music. This study helps to demonstrate the influence of instrumental learning experiences on people’s attitudes towards AI music generation, and can provide inspiration for further exploration of music education research in cross-cultural contexts. Meanwhile, the emotional relationship and cognitive responses between humans and AI music can be revealed more.