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Eyes can tell: Assessment of implicit attitudes toward AI art

Advances in artificial intelligence (AI) have significantly improved the abilities of machines. Human-unique abilities, such as art creation, are now being challenged by AI. Recent studies have investigated and compared people's attitudes toward human-made and AI-generated artworks. These resul...

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Detalles Bibliográficos
Autores principales: Zhou, Yizhen, Kawabata, Hideaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663653/
https://www.ncbi.nlm.nih.gov/pubmed/38022746
http://dx.doi.org/10.1177/20416695231209846
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author Zhou, Yizhen
Kawabata, Hideaki
author_facet Zhou, Yizhen
Kawabata, Hideaki
author_sort Zhou, Yizhen
collection PubMed
description Advances in artificial intelligence (AI) have significantly improved the abilities of machines. Human-unique abilities, such as art creation, are now being challenged by AI. Recent studies have investigated and compared people's attitudes toward human-made and AI-generated artworks. These results suggest that a negative bias may exist toward the latter. However, none of these previous studies has examined the extent of this bias. In this study, we investigate whether a bias against AI art can be found at an implicit level. Viewers’ attitudes toward AI art were assessed using eye-tracking measures and subjective aesthetic evaluations. Visual attention and aesthetic judgments were compared between artworks categorized as human-made and AI-made. The results showed that although it was difficult for individuals to identify AI-generated artwork, they exhibited an implicit prejudice against AI art. Participants looked longer at paintings that they thought were made by humans. No significant effect of categorization of paintings was found in subjective evaluations. These findings suggest that although human and AI art may be perceived as having similar aesthetic values, an implicit negative bias toward AI art exists. Although AI can now perform creative tasks, artistic creativity is still considered a human prerogative.
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spelling pubmed-106636532023-10-30 Eyes can tell: Assessment of implicit attitudes toward AI art Zhou, Yizhen Kawabata, Hideaki Iperception Standard Article Advances in artificial intelligence (AI) have significantly improved the abilities of machines. Human-unique abilities, such as art creation, are now being challenged by AI. Recent studies have investigated and compared people's attitudes toward human-made and AI-generated artworks. These results suggest that a negative bias may exist toward the latter. However, none of these previous studies has examined the extent of this bias. In this study, we investigate whether a bias against AI art can be found at an implicit level. Viewers’ attitudes toward AI art were assessed using eye-tracking measures and subjective aesthetic evaluations. Visual attention and aesthetic judgments were compared between artworks categorized as human-made and AI-made. The results showed that although it was difficult for individuals to identify AI-generated artwork, they exhibited an implicit prejudice against AI art. Participants looked longer at paintings that they thought were made by humans. No significant effect of categorization of paintings was found in subjective evaluations. These findings suggest that although human and AI art may be perceived as having similar aesthetic values, an implicit negative bias toward AI art exists. Although AI can now perform creative tasks, artistic creativity is still considered a human prerogative. SAGE Publications 2023-10-30 /pmc/articles/PMC10663653/ /pubmed/38022746 http://dx.doi.org/10.1177/20416695231209846 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Standard Article
Zhou, Yizhen
Kawabata, Hideaki
Eyes can tell: Assessment of implicit attitudes toward AI art
title Eyes can tell: Assessment of implicit attitudes toward AI art
title_full Eyes can tell: Assessment of implicit attitudes toward AI art
title_fullStr Eyes can tell: Assessment of implicit attitudes toward AI art
title_full_unstemmed Eyes can tell: Assessment of implicit attitudes toward AI art
title_short Eyes can tell: Assessment of implicit attitudes toward AI art
title_sort eyes can tell: assessment of implicit attitudes toward ai art
topic Standard Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663653/
https://www.ncbi.nlm.nih.gov/pubmed/38022746
http://dx.doi.org/10.1177/20416695231209846
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