Game Analysis of the Negative Effects of AI Composition
- DOI
- 10.2991/978-94-6463-674-1_24How to use a DOI?
- Keywords
- Traditional composition; AI composition; game analysis; negative effects
- Abstract
With the rapid development of AI technologies in the music creation industry, AI composition has gradually become a highly discussed emerging technology. However, its impact is not entirely positive, as numerous negative effects have sparked extensive discussion and deep reflection across various sectors. This paper employs game theory as an analytical approach to investigate the relevant factors and construct models that examine the negative effects of AI composition on composers, singers, and other music professionals in the music creation industry. It further delves into the complex impact mechanisms underlying these effects. At the same time, this paper analyzes the tendency of different subjects when choosing strategies under various circumstances, with the goal of providing comprehensive and in-depth theoretical foundations and strategy choice references for the music creation industry, related industries, and the broader socio-cultural sector in response to the development of AI composition.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhou Hao PY - 2025 DA - 2025/03/17 TI - Game Analysis of the Negative Effects of AI Composition BT - Proceedings of the 2024 Seminar on Educational Technology and Management Information Systems (ETMIS 2024) PB - Atlantis Press SP - 217 EP - 227 SN - 2352-5398 UR - https://doi.org/10.2991/978-94-6463-674-1_24 DO - 10.2991/978-94-6463-674-1_24 ID - Hao2025 ER -