发表机构
Creative Computing Institute, University of the Arts London（伦敦艺术大学创意计算研究所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文通过分析去中心化艺术系统 Botto，揭示其能动性在社区与内部模型间分布式不对称分配，并主张 AI 艺术的可解释性需涵盖策展程序。
AI 中文摘要
Botto 常被描述为一个去中心化的自主艺术家，但其作者身份不能仅归因于图像生成。本文将 Botto 视为一个能动性策展系统，其中生成、排名、投票、反馈和铸造形成了一个递归循环。基于 Botto 的文档和先前对该项目的描述，我们认为 Botto 中的能动性是分布式的但不对称的：社区参与者通过投票和治理影响艺术方向，而 Botto 的内部模型则构建了哪些图像变得可见、可被选择并被认可为作品。该案例表明，对于人工智能艺术系统，可解释性不仅应包括模型行为，还应包括输出获得艺术地位的策展程序。
英文摘要
Botto is often described as a decentralized autonomous artist, but its authorship cannot be located in image generation alone. This paper examines Botto as an agentic curatorial system in which generation, ranking, voting, feedback, and minting form a recursive loop. Drawing on Botto's documentation and prior accounts of the project, we argue that agency in Botto is distributed but asymmetrical: community participants influence artistic direction through voting and governance, while Botto's internal models structure which images become visible, selectable, and recognizable as works. The case shows that, for AI art systems, explainability should include not only model behavior but also the curatorial procedures through which outputs acquire artistic status.
CommentsIn Proceedings of Explainable AI for the Arts Workshop 2026 (XAIxArts 2026) arXiv:2607.20131
