mlsanityData to 14 Oct 2026

Unlimited Editions: Documenting Human Style in AI Art Generation

arXiv 2507.19497 ↗First posted 5 Jun 2025cs.HC cs.AI cs.CYcited by 1

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Abstract (arXiv)

As AI art generation becomes increasingly sophisticated, HCI research has focused primarily on questions of detection, authenticity, and automation. This paper argues that such approaches fundamentally misunderstand how artistic value emerges from the concerns that drive human image production. Through examination of historical precedents, we demonstrate that artistic style is not only visual appearance but the resolution of creative struggle, as artists wrestle with influence and technical constraints to develop unique ways of seeing. Current AI systems flatten these human choices into reproducible patterns without preserving their provenance. We propose that HCI's role lies not only in perfecting visual output, but in developing means to document the origins and evolution of artistic style as it appears within generated visual traces. This reframing suggests new technical directions for HCI research in generative AI, focused on automatic documentation of stylistic lineage and creative choice rather than simple reproduction of aesthetic effects.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 5 of its 67 references that are in the map. First posted on arXiv 5 Jun 2025.

Builds on

5 of 67 references.

References · 5

  1. 2021Design Guidelines for Prompt Engineering Text-to-Image Generative Modelscited by 218
  2. 2022The Creativity of Text-to-Image Generationcited by 73
  3. 2021Understanding and Creating Art with AI: Review and Outlookcited by 60
  4. 2023Perceptions and Realities of Text-to-Image Generationcited by 5
  5. 2023Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourneycited by 5

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Citing papers per year: 2026: 1.

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