A1 Refereed original research article in a scientific journal
Understanding how personality traits, experiences, and attitudes shape negative bias toward AI-generated artworks
Authors: Grassini Simone, Koivisto Mika
Publisher: Springer Nature
Publication year: 2024
Journal: Scientific Reports
Journal name in source: SCIENTIFIC REPORTS
Journal acronym: SCI REP-UK
Article number: 4113
Volume: 14
Issue: 1
Number of pages: 15
ISSN: 2045-2322
eISSN: 2045-2322
DOI: https://doi.org/10.1038/s41598-024-54294-4(external)
Web address : https://doi.org/10.1038/s41598-024-54294-4(external)
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/387263695(external)
The study primarily aimed to understand whether individual factors could predict how people perceive and evaluate artworks that are perceived to be produced by AI. Additionally, the study attempted to investigate and confirm the existence of a negative bias toward AI-generated artworks and to reveal possible individual factors predicting such negative bias. A total of 201 participants completed a survey, rating images on liking, perceived positive emotion, and believed human or AI origin. The findings of the study showed that some individual characteristics as creative personal identity and openness to experience personality influence how people perceive the presented artworks in function of their believed source. Participants were unable to consistently distinguish between human and AI-created images. Furthermore, despite generally preferring the AI-generated artworks over human-made ones, the participants displayed a negative bias against AI-generated artworks when subjective perception of source attribution was considered, thus rating as less preferable the artworks perceived more as AI-generated, independently on their true source. Our findings hold potential value for comprehending the acceptability of products generated by AI technology.
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