将AI模型视为可创作的材料，助力音乐界面设计创新
Explainable AI through the Lens of Material Agency: Enabling Musical Interface Design with Neural Audio Models
- 把神经音频模型当作创作素材，构建可交互的艺术设计空间
- 通过案例库支持艺术家探索生成式音频模型的创作潜力
- 适合艺术创作者与人机交互研究者参考，推动可解释AI设计
在人机交互领域，越来越多研究将AI模型视为具有独特计算特性的设计材料，艺术家通过与模型的互动探索其潜在能力。本文提出‘材料可解释性’概念，即一系列将AI模型转化为艺术家、设计师和制作者可访问、包容的设计材料的活动与成果。我们以新音乐表达接口（NIME）领域为例，构建了一个资源库，支持对神经音频模型的艺术化探索。通过回顾社区建设历程与联合艺术家共创音乐界面设计的过程，提出三条促进艺术实践中使用AI作为材料的建议，旨在为未来面向艺术家的可解释性（XAI）设计提供启发。
原文摘要 · Abstract (English)
Recent work in Human-Computer Interaction (HCI) increasingly treats AI models as design materials that have distinctive computational properties to shape design artifacts. Artists learn to work with the model "at play" to explore their emerging properties. The aim of explainability, in this view, is to make visible a crafting and hacking space to enable sustained creative practices with AI. In this chapter, we propose material explainability as a range of activities and artifacts that transform AI models into accessible and inclusive design materials in the workspace of artists, designers, and makers. We present a case study of building a repository of resources to enable artistic explorations of neural audio models in New Interfaces for Musical Expression (NIME) design. Reflecting on our community-building journey and the making of a collection of musical interface designs with a group of artists, we raise three recommendations on enabling the exploration of AI as materials in artistic practices to inspire future XAI design for artists.
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