当琴弦牵动算法：游牧即兴音乐表演中作为去殖民探索的人机主权与纠缠关系
When Strings Tug at Algorithm: Human-AI Sovereignty and Entanglement in Nomadic Improvisational Music Performance as a Decolonial Exploration
AI总结：
本研究以中亚游牧即兴都塔尔表演为对象，探究人机权力动态，通过迭代采集-转换-沉浸式交互的反馈工作流，发现音乐家会选择性接纳或拒斥算法建议以维护创作主体性，提出需重构技术工具实现文化存续的去殖民实践。
摘要：
随着新兴人工智能技术在非物质文化遗产语境中日益承担起辅助角色，研究者与艺术家注意到围绕能动性协商、文化抵抗与技术批判主题的现存问题。本研究针对都塔尔（一种源自中亚地区的长颈琉特类活态文化遗产）的游牧即兴表演，探究人机主权与纠缠关系中的权力动态。为考察人类能动性与计算霸权之间的张力，研究者与艺术家检验并迭代了一套反馈工作流：该工作流采集现场表演数据、进行数字转换处理，并通过沉浸式环境打造实时互动艺术体验。来自艺术家与观众的实证数据揭示了多种调节模式：音乐家会选择性地接纳或拒斥算法建议，以维护创作主体性。作者得出结论：去殖民潜力要求为文化存续重新设计工具或系统，此时技术不再仅仅是一个反馈环境，更成为去殖民实践的场域，对数字生态系统中的计算霸权提出挑战。
英文摘要：
As emergent artificial intelligence technologies increasingly assert roles as assistants within intangible cultural heritage contexts, researchers and artists observe existing questions on the theme of agency negotiation, cultural resistance, and technical critique. This research interrogates power dynamics in human-AI sovereignty and entanglement for nomadic improvisational Dutar performance, a living cultural heritage through a long-necked lute from the Central Asia region. To investigate tensions between human agency and computational hegemony, the researcher and artists examined and iterated a feedback workflow that captures live performance data, processes digital transformations, and creates a real-time interactive art experience via immersive environments. Empirical data from artists and audience reveal modulations where musicians selectively embrace or reject algorithmic suggestions to preserve creative identity. The author concludes that decolonial potential requires redesigning tools or systems for cultural survivance, where technology becomes not merely a feedback environment but a site for decolonial praxis, challenging computational hegemony in digital ecosystems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
