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AI adoption in the arts: A study of motivations and attitudes among Nordic AI artists
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-7605-0093
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-0028-9030
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0003-1679-6018
2025 (English)In: Digital Creativity, ISSN 1462-6268, E-ISSN 1744-3806, Vol. 36, no 4, p. 362-379Article in journal (Refereed) Published
Abstract [en]

Adoption of AI technologies in the arts has faced a divided reception and raised controversies—while some artists critique them, others embrace the opportunities they provide. In this paper, we contribute empirical insights into what motivates artists’ adoption of AI art technologies, as well as what kind of worldviews these motivations for AI adoption in artistic contexts embody. We shed light on these questions by presenting results from a qualitative interview study (N = 19) of AI artists practicing in Nordic countries. Five key themes emerged that describe artists’ motivations for using AI in their work, which we analyse in reflection with Kerschner and Ehlers' Attitudes Towards Technology (ATT) framework in terms of underlying attitudes of AI-Enthusiasm, Pragmatism, Romanticism, and Scepticism. Our analysis diversifies the understanding of why artists use AI, surfacing cultural and political tensions inherent in adoption of AI technologies for artistic and creative use.

Place, publisher, year, edition, pages
Informa UK Limited , 2025. Vol. 36, no 4, p. 362-379
Keywords [en]
AI art, AI artist, art and technology, motivation, attitude
National Category
Arts Information Systems, Social aspects
Research subject
Media Technology
Identifiers
URN: urn:nbn:se:kth:diva-374361DOI: 10.1080/14626268.2025.2600598ISI: 001641659200001Scopus ID: 2-s2.0-105025225024OAI: oai:DiVA.org:kth-374361DiVA, id: diva2:2022943
Funder
Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS), 2020.0102Swedish Research Council, 2024-01832
Note

QC 20251218

Available from: 2025-12-18 Created: 2025-12-18 Last updated: 2026-02-09Bibliographically approved

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Kaila, Anna-KaisaJääskeläinen, PetraHolzapfel, Andre

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  • apa
  • ieee
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