AI艺术生成应记录创作历程，而非仅模仿视觉风格。
Unlimited Editions: Documenting Human Style in AI Art Generation
- 将艺术风格视为创作过程的体现，而非单纯视觉特征。
- 指出当前AI忽略创作溯源，导致风格失去独特性。
- 适合关注艺术生成伦理与创作痕迹记录的研究者。
随着AI艺术生成日益复杂，人机交互（HCI）研究多聚焦于检测、真实性与自动化问题。本文认为，这些方法从根本上误解了艺术价值源于人类图像创作中的关切。通过考察历史先例，我们表明艺术风格不仅是视觉外观，更是艺术家在应对影响与技术限制时，解决创造性困境的过程，由此形成独特的观察方式。现有AI系统将这些人类选择简化为可重复的模式，却未保留其来源。因此，我们主张HCI的职责不仅在于优化视觉输出，更在于开发机制以记录艺术风格在生成视觉痕迹中的起源与演变。这一视角重构为生成式AI的HCI研究指明新方向：自动记录风格谱系与创作抉择，而非简单复制美学效果。
原文摘要 · Abstract (English)
As AI art generation becomes increasingly sophisticated, HCI research has focused primarily on questions of detection, authenticity, and automation. This paper argues that such approaches fundamentally misunderstand how artistic value emerges from the concerns that drive human image production. Through examination of historical precedents, we demonstrate that artistic style is not only visual appearance but the resolution of creative struggle, as artists wrestle with influence and technical constraints to develop unique ways of seeing. Current AI systems flatten these human choices into reproducible patterns without preserving their provenance. We propose that HCI's role lies not only in perfecting visual output, but in developing means to document the origins and evolution of artistic style as it appears within generated visual traces. This reframing suggests new technical directions for HCI research in generative AI, focused on automatic documentation of stylistic lineage and creative choice rather than simple reproduction of aesthetic effects.
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