用可量化方式拆分人机创作贡献，引发对艺术所有权的反思
Man, Machine, and Masterpiece: Artistic Ownership in the AI Era
- 设计ArtSplit工具，量化创作各阶段的人机贡献比例
- 艺术家普遍认为量化无法体现创作意图与主体性
- 适合关注艺术伦理、人机协作的创作者与研究者
AI在创意工作中的融合引发了艺术家与法律界关于所有权的争议。然而，当人类与AI的贡献交织时，如何定义和分配所有权仍缺乏共识。为激发对这一矛盾的深入思考，我们设计了ArtSplit这一概念原型，明确量化创作过程中人类与AI在不同阶段的贡献。该原型并非为解决所有权问题，而是用于引出艺术家对通过可测量行为分配所有权的看法。我们主张，量化难以契合艺术家对创作意图与主体性的理解，试图测量所有权反而可能削弱艺术实践中长期形成的认知基础。这一批判挑战了将历史性、社会性关系简化为技术问题的倾向。
原文摘要 · Abstract (English)
The integration of AI-driven systems in creative work has sparked debates among artists and legal communities about notions of ownership. Yet there remains little consensus on how ownership should be defined and attributed when human and AI contributions are intertwined. To provoke critical reflection on these tensions, we designed ArtSplit, a provotype that explicitly quantifies human and AI contributions across different stages of creative work. Rather than aiming to resolve ownership, the provotype was used to elicit artists' responses to the idea of attributing ownership through measurable actions in the creative workflow. We argue that quantification fails to align with artists' understandings of creative intent and agency, and that efforts to measure ownership risk diluting long-standing assumptions through which artists understand and practice creative work. This critique challenges the impulse to transform a historically and socially situated relation into a technical problem.
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