The impact of exposure to generative AI art on aesthetic appreciation,perceptions of AI mind,and evaluations of AI and of art careers

Abstract

Visual art is increasingly created by generative artificial intelligence (generative AI). This study, conducted online with 470 US participants, investigated whether exposure to art attributed to AI may influence aesthetic appreciation, perceptions of AI mind, and evaluations of AI (acceptance of AI as an artist, evaluation of AI as an identity and realistic threat) and of art careers. Exposure to art introduced as generated by AI (vs a human artist) reduced appreciation. No significant impact was observed on the other dependent variables. For ostensibly AI-generated art, higher appreciation was associated with more acceptance toward AI as an artist and lower levels of AI realistic threat. This suggests that mere exposure to art attributed to AI may not be sufficient to induce a change in perceptions of AI mind, evaluations of AI and of art careers, but these effects might occur if AI-attributed art is appreciated aesthetically.

Keywords

Aesthetic appreciation AI art AI threat generative AI mind perception

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References

Adobe (2024) What is AI art & how does it work?–Adobe Firefly. Available at: https://www.adobe.com/products/firefly/discover/what-is-ai-art.html (accessed 23 November 2024).

Agudo

Arrese

Liberal

, et al. (2022) Assessing emotion and sensitivity of AI artwork. Frontiers in Psychology 13: 879088.

Appel

Izydorczyk

Weber

, et al. (2020) The uncanny of mind in a machine: humanoid robots as tools, agents, and experiencers. Computers in Human Behavior 102: 274–286.

Bartsch

Oliver

(2016) Appreciation of meaningful entertainment experiences and eudaimonic well-being. In: Reinecke

Oliver

(eds) The Routledge Handbook of Media Use and Well-being: International Perspectives on Theory and Research on Positive Media Effects. New York: Taylor and Francis, pp. 80–92.

Baxter

(2024) AI art: the end of creativity or the start of a new movement? Available at: https://www.bbc.com/future/article/20241018-ai-art-the-end-of-creativity-or-a-new-movement (accessed 23 November 2024).

Bebernes

(2023) Is AI a threat to human artists? Available at: https://www.yahoo.com/news/is-ai-a-threat-to-human-artists-200310818.html

Bellaiche

Shahi

Turpin

, et al. (2023) Humans versus AI: whether and why we prefer human-created compared to AI-created artwork. Cognitive Research: Principles and Implications 8(1): 42.

Bernal

(2019) The rise of the AI artists and the companies that are set to cash in. The Telegraph, 22 March. Available at: https://www.telegraph.co.uk/technology/2019/03/22/rise-ai-artists-companies-set-cash/ (accessed 18 June 2023).

Biddle

(1986) Recent developments in role theory. Annual Review of Sociology 12(1): 67–92.

10.

Boden

(2016) Skills and the appreciation of computer art. Connection Science 28(2): 131–138.

11.

Bory

(2019) Deep new: the shifting narratives of artificial intelligence from Deep Blue to AlphaGo. Convergence 25(4): 627–642.

12.

Chamberlain

Mullin

Scheerlinck

, et al. (2018) Putting the art in artificial: aesthetic responses to computer-generated art. Psychology of Aesthetics, Creativity, and the Arts 12: 177–192.

13.

Cousins

(2023) The rapid rise of AI art. Available at: https://eandt.theiet.org/content/articles/2023/02/the-rapid-rise-of-ai-art/ (accessed 18 June 2023).

14.

Elias

DMG

Berg-Cross

(2009) An exploration of motivations of fine art students in relation to mental and physical well-being. Journal of College Student Psychotherapy 23(4): 228–238.

15.

Fingerhut

Prinz

(2018) Wonder, appreciation, and the value of art. Progress in Brain Research 237: 107–128.

16.

Fish

(1995) Professional Correctness: Literary Studies and Political Change. New York: Clarendon Press.

17.

Gabbiadini

Dimitri

Baldissarri

, et al. (2023) Does ChatGPT pose a threat to human identity? 4377900, SSRN Scholarly Paper. Available at: https://papers.ssrn.com/abstract=4377900 (accessed 15 July 2024).

18.

Gabbiadini

Ognibene

Baldissarri

, et al. (2024) The emotional impact of generative AI: negative emotions and perception of threat. Behaviour & Information Technology 44: 1–48.

19.

Gangadharbatla

(2022) The role of AI attribution knowledge in the evaluation of artwork. Empirical Studies of the Arts 40(2): 125–142.

20.

Gill-Simmen

(2023) Education should look to the way artists are embracing AI, instead of turning its back on the technology. Available at: http://theconversation.com/education-should-look-to-the-way-artists-are-embracing-ai-instead-of-turning-its-back-on-the-technology-209733 (accessed 14 July 2024).

21.

Golka

(2013) The Sociology of the Artist in the Postmodern Era. Münster: LIT Verlag.

22.

Grassini

Koivisto

(2024) Understanding how personality traits, experiences, and attitudes shape negative bias toward AI-generated artworks. Scientific Reports 14(1): 4113.

23.

Gray

Wegner

(2007) Dimensions of mind perception. Science 315(5812): 619.

24.

Gray

Wegner

(2012) Feeling robots and human zombies: mind perception and the uncanny valley. Cognition 125(1): 125–130.

25.

Hageback

Hedblom

(2021) AI for Arts. Boca Raton, FL: CRC Press.

26.

Heikkilä

(2022) This artist is dominating ai-generated art and he’s not happy about it. MIT Technology Review, 16 September. Available at: http://technologyreview.com/2022/09/16/1059598/this-artist-is-dominating-ai-generated-art-and-hes-not-happy-about-it/

27.

Hocking

(2019) Portrait of an artist as collaborator: an interpretative phenomenological analysis of an artist. Frontiers in Psychology 10: 251.

28.

Hong

J-W

(2018) Bias in perception of art produced by artificial intelligence. In: Kurosu

(ed.) Human-computer Interaction. Interaction in Context, HCI 2018, Lecture Notes in Computer Science, Vol. 10902. Cham: Springer, pp. 290–303. Available at: https://link.springer.com/10.1007/978-3-319-91244-8_24 (accessed 15 March 2024).

29.

Hong

J-W

Curran

(2019) Artificial intelligence, artists, and art: attitudes toward artwork produced by humans vs. artificial intelligence. ACM Transactions on Multimedia Computing, Communications, and Applications 15(Suppl. 2): 58.

30.

Hong

J-W

Fischer

, et al. (2022) Human, I wrote a song for you: an experiment testing the influence of machines’ attributes on the AI-composed music evaluation. Computers in Human Behavior 131: 107239.

31.

Hutson

Harper-Nichols

(2023) Generative AI and algorithmic art: disrupting the framing of meaning and rethinking the subject-object dilemma. Global Journal of Computer Science and Technology 23(D1): 55–61.

32.

Jackson

(2023) Roundhill Investments launch fund with generative AI. Available at: https://aimagazine.com/articles/roundhill-investments-launch-fund-with-generative-ai (accessed 15 March 2024).

33.

Jiang

Brown

Cheng

, et al. (2023) AI art and its impact on artists. In: Proceedings of the 2023 AAAI/ACM conference on AI, ethics, and society, AIES ’23, New York, 29 August. New York: Association for Computing Machinery, pp. 363–374.

34.

Johnston

Thue

(2024) Understanding visual artists’ values and attitudes towards collaboration, technology, and AI. In: Graphics interface 2024 second deadline, 28 May. Available at: https://openreview.net/forum?id=MjRgUB2zPn (accessed 14 July 2024).

35.

Jussupow

Spohrer

Heinzl

(2022) Identity threats as a reason for resistance to artificial intelligence: survey study with medical students and professionals. JMIR Formative Research 6(3): e28750.

36.

Kaplan

Haenlein

(2020) Rulers of the world, unite! the challenges and opportunities of artificial intelligence. Business Horizons 63(1): 37–50.

37.

Kelley

Yang

Heldreth

, et al. (2021) Exciting, useful, worrying, futuristic: public perception of artificial intelligence in 8 countries. In: Proceedings of the 2021 AAAI/ACM conference on AI, ethics, and society, AIES ’21, New York, 30 July. New York: Association for Computing Machinery, pp. 627–637.

38.

Kerschner

Ehlers

M-H

(2016) A framework of attitudes towards technology in theory and practice. Ecological Economics 126: 139–151.

39.

Kieslich

Lünich

Marcinkowski

(2021) The Threats of Artificial Intelligence Scale (TAI). International Journal of Social Robotics 13(7): 1563–1577.

40.

Knight

(2023) Where the AI art boom came from – and where it’s going. Available at: https://www.wired.com/gallery/where-the-ai-art-boom-came-from-and-where-its-going/ (accessed 18 June 2023).

41.

Kraatz

Xie

(2023) Why AI art is not art–a Heideggerian critique. Synthesis Philosophica 38(2): 235–253.

42.

Latikka

Bergdahl

Savela

, et al. (2023) AI as an artist? a two-wave survey study on attitudes toward using artificial intelligence in art. Poetics 101: 101839.

43.

Lingo

Tepper

(2013) Looking back, looking forward: arts-based careers and creative work. Work and Occupations 40(4): 337–363.

44.

Lombard

(2021) Social responses to media technologies in the 21st century: the media are social actors paradigm. Human-Machine Communication 2: 29–55.

45.

McLean

(2023) What is AI art? how art generators work (2024). Available at: https://www.elegantthemes.com/blog/design/what-is-ai-art (accessed 23 November 2024).

46.

Manovich

(2019) Defining AI Arts: Three Proposals. AI and Dialog of Cultures [exhibition catalog]. Saint-Petersburg: Hermitage Museum.

47.

Mastandrea

Wagoner

Hogg

(2021) Liking for abstract and representational art: national identity as an art appreciation heuristic. Psychology of Aesthetics, Creativity, and the Arts 15: 241–249.

48.

Messingschlager

Appel

(2025) Mind ascribed to AI and the appreciation of AI-generated art. New Media & Society 27: 14614448231200248.

49.

Michaels

(2024) The art world’s AI dilemma: how can artists and museums thrive when big tech controls the monetising of artificial intelligence? Available at: https://www.theartnewspaper.com/2024/05/30/the-art-worlds-ai-dilemma-how-can-artists-and-museums-thrive-when-big-tech-controls-the-monetising-of-artificial-intelligence (accessed 14 July 2024).

50.

Millet

Buehler

, et al. (2023) Defending humankind: anthropocentric bias in the appreciation of AI art. Computers in Human Behavior 143: 107707.

51.

Mirbabaie

Brünker

Möllmann Frick

NRJ

, et al. (2022) The rise of artificial intelligence–understanding the AI identity threat at the workplace. Electronic Markets 32(1): 73–99.

52.

Monteiro

(2015) Sociology of the professions. In: Reis Monteiro

(ed.) The Teaching Profession: Present and Future. SpringerBriefs in Education. Cham: Springer, pp. 47–60.

53.

Nass

Moon

(2000) Machines and mindlessness: social responses to computers. Journal of Social Issues 56(1): 81–103.

54.

Nass

Steuer

Tauber

(1994) Computers are social actors. In: Proceedings of the SIGCHI conference on human factors in computing systems celebrating interdependence, CHI ’94, Boston, MA, 24–28 April. New York: ACM Press, pp. 72–78.

55.

Natale

Henrickson

(2022) The Lovelace effect: perceptions of creativity in machines. New Media & Society 26: 1909–1926.

56.

Oakley

(2009) From Bohemia to Britart–art students over 50 years. Cultural Trends 18: 281–294.

57.

Oppenlaender

Linder

Silvennoinen

(2023) Prompting AI art: an investigation into the creative skill of prompt engineering. arXiv:2303.13534. arXiv. Available at: http://arxiv.org/abs/2303.13534 (accessed 18 June 2023).

58.

Pelles

(1962) The image of the artist. The Journal of Aesthetics and Art Criticism 21(2): 119–137.

59.

Pelowski

Gerger

Chetouani

, et al. (2017) But is it really art? the classification of images as “art”/“not art” and correlation with appraisal and viewer interpersonal differences. Frontiers in Psychology 8: 1729.

60.

Ragot

Martin

Cojean

(2020) AI-generated vs. human artworks. A perception bias towards artificial intelligence? In: Extended abstracts of the 2020 CHI conference on human factors in computing systems, CHI EA ’20, New York, 25 April. New York: Association for Computing Machinery, pp. 1–10.

61.

Rapaport

(2023) Philosophy of Computer Science: An Introduction to the Issues and the Literature. Hoboken, NJ: John Wiley & Sons.

62.

Roose

(2022) An A.I.-generated picture won an art prize. Artists aren’t happy. The New York Times, 2 September. Available at: https://www.nytimes.com/2022/09/02/technology/ai-artificial-intelligence-artists.html (accessed 15 March 2024).

63.

Sauer

Karras

Laine

, et al. (2023) StyleGAN-T: unlocking the power of GANs for fast large-scale text-to-image synthesis. arXiv:2301.09515. arXiv. Available at: http://arxiv.org/abs/2301.09515 (accessed 18 June 2023).

64.

Schepman

Rodway

(2023) The General Attitudes towards Artificial Intelligence Scale (GAAIS): confirmatory validation and associations with personality, corporate distrust, and general trust. International Journal of Human–Computer Interaction 39(13): 2724–2741.

65.

Shvets

(2022) How AI creativity affects human art and business. Available at: https://www.forbes.com/sites/forbesbusinesscouncil/2022/12/19/how-ai-creativity-affects-human-art-and-business/ (accessed 18 June 2023).

66.

Stein

J-P

Ohler

(2017) Venturing into the uncanny valley of mind – the influence of mind attribution on the acceptance of human-like characters in a virtual reality setting. Cognition 160: 43–50.

67.

Sterbenz

(2023) DeviantArt’s decision to label AI images creates a vicious debate among artists and users. ARTnews, 18 July. Available at: https://www.artnews.com/art-news/news/deviantart-artficial-intelligence-ai-images-midjourney-stabilityai-art-1234674400/ (accessed 25 July 2024).

68.

Strowel

(2023) ChatGPT and generative AI tools: theft of intellectual labor? IIC–International Review of Intellectual Property and Competition Law 54(4): 491–494.

69.

Sundar

(2020) Rise of machine agency: a framework for studying the psychology of Human–AI interaction (HAII). Journal of Computer-Mediated Communication 25(1): 74–88.

70.

Sundar

Kim

(2019) Machine heuristic: when we trust computers more than humans with our personal information. In: Proceedings of the 2019 CHI conference on human factors in computing systems, CHI ’19, New York, 2 May. New York: Association for Computing Machinery, pp. 1–9.

71.

Tao

Gao

Yuan

(2023) Boundary crossing: an experimental study of individual perceptions toward AIGC. Frontiers in Psychology 14: 1185880.

72.

Taylor

(2017) Creativity and mood disorder: a systematic review and meta-analysis. Perspectives on Psychological Science 12(6): 1040–1076.

73.

Ting

Ling

Azam

AIBA

, et al. (2023) Artificial intelligence art: attitudes and perceptions toward human versus artificial intelligence artworks. AIP Conference Proceedings 2823(1): 020003.

74.

Townsend

Atkinson- Palombo

Terbeck

, et al. (2021) Hopes and fears about autonomous vehicles. Case Studies on Transport Policy 9(4): 1933–1942.

75.

Tunali

(2017) Contemporary art and the post-1989 art world. Dandelion: Postgraduate Arts Journal and Research Network 8(1): 1.

76.

Turner

(1997) Attributing intelligence to humans and machines: between the devil and the deep blue, see? In: Proceedings of the 4th AAAI conference on Deep Blue versus Kasparov: the significance for artificial intelligence, AAAIWS’97-04, Providence, RI, USA, 1 January. Washington, DC: AAAI Press, pp. 27–30.

77.

Vacar

(2023) Artificial intelligence: harmless fun or a threat to humanity? KTVU FOX 2. Available at: https://www.ktvu.com/news/artificial-intelligence-harmless-fun-or-a-threat-to-humanity (accessed 18 June 2023).

78.

van der Laan

(2016) Narratives of Technology. Berlin: Springer.

79.

Van Tilburg

WAP

Igou

(2014) From Van Gogh to Lady Gaga: artist eccentricity increases perceived artistic skill and art appreciation. European Journal of Social Psychology 44(2): 93–103.

80.

Vieira

(2020) Automation anxiety and translators. Translation Studies 13(1): 1–21.

81.

Vimpari

Kultima

Hämäläinen

, et al. (2023) “An adapt-or-die type of situation”: perception, adoption, and use of text-to-image-generation AI by game industry professionals. Proceedings of the ACM on Human Computer Interaction 7(CHI PLAY): 379.

82.

Volti

(2008) An Introduction to the Sociology of Work and Occupations. Los Angeles, CA: Pine Forge Press.

83.

Wang

Peng

(2023) AI experience predicts identification with humankind. Behavioral Sciences 13(2): 89.

84.

Weatherbed

(2023) A bestselling fantasy novel is using AI-generated cover art. Available at: https://www.theverge.com/2023/5/15/23724102/sarah-j-maas-ai-generated-book-cover-bloomsbury-house-of-earth-and-blood (accessed 25 June 2023).

85.

Wiley

(2023) A photographer embraces the alien logic of A.I. The New Yorker, 8 May. Available at: https://www.newyorker.com/culture/photo-booth/a-photographer-embraces-the-alien-logic-of-ai (accessed 14 July 2024).

86.

Wingström

Hautala

Lundman

(2022) Redefining creativity in the era of AI? perspectives of computer scientists and new media artists. Creativity Research Journal 36: 177–193.

87.

C-L

Huang

S-Y

Chen

P-Z

, et al. (2020) A systematic review of creativity-related studies applying the remote associates test from 2000 to 2019. Frontiers in Psychology 11: 573432.

88.

Xiang

(2022) Artists are revolting against AI art on ArtStation. Vice. Available at: https://www.vice.com/en/article/ake9me/artists-are-revolt-against-ai-art-on-artstation (accessed 18 June 2023).

89.

Liu

Mou

, et al. (2020) Using machine learning to learn machines: a cross-cultural study of users’ responses to machine-generated artworks. Journal of Broadcasting & Electronic Media 64(4): 566–591.

90.

Yogeeswaran

Zlotowski

Livingstone

, et al. (2016) The interactive effects of robot anthropomorphism and robot ability on perceived threat and support for robotics research. Journal of Human-Robot Interaction 5(2): 29–47.

91.

Złotowski

Yogeeswaran

Bartneck

(2017) Can we control it? autonomous robots threaten human identity, uniqueness, safety, and resources. International Journal of Human-Computer Studies 100: 48–54.

92.

Zeilinger

(2021) Tactical Entanglements. Lüneburg: Meson Press.

93.

Zhang

(2023) Artificial artists: AI artist achieves acclaim! The Science Survey. Available at: https://thesciencesurvey.com/news/2023/01/18/artificial-artists-ai-artist-achieves-acclaims/ (accessed 25 June 2023).

94.

Zhou

Shi

, et al. (2022) Did artificial intelligence invade humans? the study on the mechanism of patients’ willingness to accept artificial intelligence medical care: from the perspective of intergroup threat theory. Frontiers in Psychology 13: 866124.

95.

Zylinska

(2020) AI Art: Machine Visions and Warped Dreams. Illustrated ed. London: Open Humanities Press CIC.

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