揭示AI音乐生成背后隐藏的意识形态，反思所谓'民主化'的真实面貌
Opening Musical Creativity? Embedded Ideologies in Generative-AI Music Systems
- 通过分析四款主流AI音乐工具，追踪开发者与用户间的宣传话语
- 发现其宣扬的民主化实为个体主义、技术自由主义等隐蔽意识形态
- 适合关注AI伦理、数字文化与艺术创作权力的人阅读
截至2025年中，生成式AI音乐系统（AIVA、Stable Audio、Suno、Udio）日益普及，被广泛宣传为赋予非专业者音乐创作能力的民主化工具。然而，本研究通过自传式民族志与数字民族志方法，考察这些系统在开发与使用中的修辞策略与实际功能之间的矛盾。结果表明，开发者与用户共同内化了一种个体主义、全球主义、技术自由主义且回避伦理责任的‘总体意识形态’。该意识形态模糊了个人责任，并将音乐的本质与实践方式重塑以适应生成式输出，掩盖了技术背后的深层价值取向。
原文摘要 · Abstract (English)
AI systems for music generation are increasingly common and easy to use, granting people without any musical background the ability to create music. Because of this, generative-AI has been marketed and celebrated as a means of democratizing music making. However, inclusivity often functions as marketable rhetoric rather than a genuine guiding principle in these industry settings. In this paper, we look at four generative-AI music making systems available to the public as of mid-2025 (AIVA, Stable Audio, Suno, and Udio) and track how they are rhetoricized by their developers, and received by users. Our aim is to investigate ideologies that are driving the early-stage development and adoption of generative-AI in music making, with a particular focus on democratization. A combination of autoethnography and digital ethnography is used to examine patterns and incongruities in rhetoric when positioned against product functionality. The results are then collated to develop a nuanced, contextual discussion. The shared ideology we map between producers and consumers is individualist, globalist, techno-liberal, and ethically evasive. It is a 'total ideology' which obfuscates individual responsibility, and through which the nature of music and musical practice is transfigured to suit generative outcomes.
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