mlsanityData to 14 Oct 2026

Expertise elevates AI usage: experimental evidence comparing laypeople and professional artists

arXiv 2501.12374 ↗First posted 21 Jan 2025cs.HC cs.AI cs.CYcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 36 of its 118 references that are in the map. First posted on arXiv 21 Jan 2025.

Builds on

36 of 118 references.

References · 36

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24 more
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 3.

4 papers.