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What Is the Value of AI-Involved Art? Evidence From a Juried In-Person Exhibition — arXiv:2611.10150

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.10150
License (as archived): CC0-1.0
Archived: 2026-11-10T18:40:44.928Z
SHA-256 of the archived text: 4d1a7b55238b33a2e0626ca45239a159886461d429a76f766801ae6cb3ded76c
Stable URL of this page: https://metraipolis.com/documento/dc_7b270673d3ab

How to cite

What Is the Value of AI-Involved Art? Evidence From a Juried In-Person Exhibition — arXiv:2611.10150 — arXiv (en), https://arxiv.org/abs/2611.10150 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_7b270673d3ab (Metraipolis archive dc_7b270673d3ab, sha256 4d1a7b55238b33a2e0626ca45239a159886461d429a76f766801ae6cb3ded76c)

BibTeX

@misc{dc7b270673d3ab,
  title = {What Is the Value of AI-Involved Art? Evidence From a Juried In-Person Exhibition — arXiv:2611.10150},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.10150},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_7b270673d3ab; sha256 4d1a7b55238b33a2e0626ca45239a159886461d429a76f766801ae6cb3ded76c},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.10150. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

What is the value of AI-involved art, and to whom does it belong? We begin to answer these questions using data from an in-person, juried AI art exhibition. Our study involved artists, lawyers, and computer scientists (N=209) as either creators or evaluators of AI-involved artworks. We found that nearly half of evaluators reported willingness to buy an artwork, with pricing correlating with perceived artistic value---creativity and visual appeal---as well as the effort necessary to create it. In contrast, three-quarters of creators reported willingness to sell at prices correlating only with effort rather than artistic value. Both groups viewed prompting users and AI developers as deserving rewards and rights, leaving training data artists behind. Disciplinary training shaped these views: participants with legal training favored distributed reward models. These findings have implications for future research on human-AI creative collaboration and policy debates regarding AI-involved works.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2611.10150 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-10T18:37:37.478Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).