Expertise Elevates AI Usage: Experimental Evidence Comparing Laypeople and Professional Artists

Generative AI's novel capacities raise questions about the future role of human expertise: does AI level the playing field between professional artists and laypeople, or does expertise enhance AI use? Do the cognitive skills experts make use of in analyzing and drawing visual art also transfer to using these new tools? This pre-registered study conducts experimental comparisons between 50 professional artists and a demographically matched sample of laypeople. Our interdisciplinary team developed two tasks involving image replication and creative image creation, assessing their copying accuracy and divergent thinking. We implemented a bespoke platform for the experiment, powered by a modern text-to-image AI. Results reveal artists produced more accurate copies and more divergent ideas than lay participants, highlighting a skill transfer of professional expertise - even to the confined space of generative AI. We also explored how well an exemplary vision-capable large language model (GPT-4o) would fare: on par in copying and slightly better on average than artists in the creative task, although never above best humans. These findings highlight the importance of integrating artistic skills with AI, suggesting a potential for collaborative synergy that could reshape creative industries and arts education.

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Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2026-05-18
DOI
https://doi.org/10.1080/10447318.2026.2669041
Citations
1
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
preprint
Field-Weighted Citation Impact
0.00
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preprint

Expertise Elevates AI Usage: Experimental Evidence Comparing Laypeople and Professional Artists

Iyad Rahwan, Mar Canet Solà, Levin Brinkmann, Thomas F. Eisenmann et al.
1 citations
International Journal of Human-Computer Interaction
Explainable Artificial Intelligence (XAI)
preprint

Expertise Elevates AI Usage: Experimental Evidence Comparing Laypeople and Professional Artists

Iyad Rahwan, Mar Canet Solà, Levin Brinkmann, Thomas F. Eisenmann, Andres Karjus, Bramantyo Ibrahim Supriyatno
preprint en
1 citations

Abstract

Generative AI's novel capacities raise questions about the future role of human expertise: does AI level the playing field between professional artists and laypeople, or does expertise enhance AI use? Do the cognitive skills experts make use of in analyzing and drawing visual art also transfer to using these new tools? This pre-registered study conducts experimental comparisons between 50 professional artists and a demographically matched sample of laypeople. Our interdisciplinary team developed two tasks involving image replication and creative image creation, assessing their copying accuracy and divergent thinking. We implemented a bespoke platform for the experiment, powered by a modern text-to-image AI. Results reveal artists produced more accurate copies and more divergent ideas than lay participants, highlighting a skill transfer of professional expertise - even to the confined space of generative AI. We also explored how well an exemplary vision-capable large language model (GPT-4o) would fare: on par in copying and slightly better on average than artists in the creative task, although never above best humans. These findings highlight the importance of integrating artistic skills with AI, suggesting a potential for collaborative synergy that could reshape creative industries and arts education.

International Journal of Human-Computer Interaction
Academy of Media Arts Cologne (DE), Estonian Business School (EE), Tallinn University (EE), Max Planck Institute for Human Development (DE), University of Tartu (EE)
Openalex Percentile: Top 100%
Explainable Artificial Intelligence (XAI)
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