Papers for

digital art platform developers

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Botto art system shares control between community and algorithms

Who Chooses the Artwork? Curatorial Agency and Distributed Intent in Botto

Abstract: 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.

Mon 14 SeptHuman-Computer Interaction
The gist
Creating art with AI isn't just about making images. The paper looks at Botto, an AI art project where computers and people work together to choose which artworks become real. People vote and guide the art direction, but the AI's design decides what art gets shown and accepted. This shows that understanding AI art means looking at both how models create images and how humans and systems select and showcase art.
Open 2609.15548v1