这篇论文提出了一个叫ArtSplit的讨论工具，帮你理解AI协作创作时所有权到底该归谁，跟艺术家们聊了聊，发现简单量化行不通。
论文提出ArtSplit原型工具，明确量化人类与AI在创意工作不同阶段的贡献。通过实验收集艺术家对所有权量化的反应，发现量化方法难以匹配艺术家对创意意图的理解。研究指出，将所有权简化为可测量指标会削弱传统艺术创作观念。作者呼吁不应将历史社会关系转化为技术问题。
Man, Machine, and Masterpiece: Artistic Ownership in the AI Era
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.