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March 22, 2026Academy of Management Discoveries1 citations

When Art Meets Algorithm: Exploring How People Perceive Meaning in Human–AI Collaborative Art

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TDTim DöringRCRebecca ChaeEEEmir Efendić

Key Points

  • This research aims to understand how AI in collaborative art influences people's perception of meaning and value.
  • Conducted four experiments to explore features of human–AI collaboration in art.
  • Examined the effects of elaborate prompts, human final touches, and curatorial selection on perceived meaning.
  • Analyzed the impact of prompt modality on perceived meaning and value.
  • Elaborate prompts enhance perceived meaning and value in art.
  • Human application of the final touch increases perceived meaning.
  • Curatorial selection from multiple AI-generated outputs boosts perceived value.
  • Prompt modality does not significantly affect perceived meaning.

Abstract

People’s perception of artificial intelligence (AI) in creative fields remains polarized. In art, perceivers often respond negatively to AI collaborations despite some artworks gaining high valuations. We investigate why AI provokes this tension when earlier artistic tools (e.g., brushes or software) did not, focusing on perceived meaning. Existing art perception frameworks were developed in times when tools functioned as passive extensions of an artist’s intent. As AI occupies an ambiguous position between tool and agentic collaborator, novel features of the creation process become central to how meaning is constructed and evaluated. Across four experiments, we explore how key features of the human–AI collaborative process shape perceived meaning and value. We find that elaborate prompts, human application of the final touch, and curatorial selection from multiple AI-generated outputs enhance perceived meaning and value, whereas prompt modality does not exert a systematic effect. We integrate these findings into a framework of human–AI collaborative creation. In doing so, this research advances understanding of the construction of meaning and value in AI-mediated creative work and opens new avenues for research at the intersection of creative industries in general and art specifically, technology, and management.

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Cite This Study

Döring et al. (2026) studied this question.

synapsesocial.com/papers/69bf86ecf665edcd009e9134https://doi.org/10.5465/amd.2024.0285
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