acecollaborating with generative AI for creative work and its impact on art students' creative identity and authorship
Source article: Human-AI co-creation or conflict? Mapping art students’ diverse perspectives on creative identity with genAI: A Q methodology study
Abstract Generative AI (GenAI) is rapidly transforming creative fields, raising critical questions about its impact on artistic identity and authorship, which also influence art education. While studies have explored GenAI adoption, the diversity of art students’ subjective perspectives on collaborating with these tools remains under-examined. This study uses Q methodology, a mixed-methods approach to investigating subjectivity, to explore the distinct perspectives art students hold regarding their creative iden…
Contested: both sides are scored from claims and sources, not community votes.
Art studio for Print making, etc. at the University of Mississippi by Peteeckert1. CC0 · http://creativecommons.org/publicdomain/zero/1.0/deed.en
Published February 28 2026, this peer-reviewed study examined how art students negotiate creative identity when working with generative AI. Forty students from visual arts, design, music, and animation sorted 42 statements about collaboration, authorship, ethics, and control, and factor analysis revealed five distinct perspectives ranging from human-centered direction to enthusiastic exploration.
The typology matters because it moves beyond simple acceptance or rejection and shows simultaneous perceived benefits and tensions in the same classrooms. Educators face the challenge of supporting students who embrace co-agency while also addressing concerns about authenticity, ownership, and disclosure, but the small, discipline-specific Q sample leaves open how stable these identities are across institutions and over time.
- Q methodology study with 40 university students from visual arts, design, music, animation sorted 42 statements on GenAI collaboration, authorship, ethics, and creative control.
- By-person factor analysis identified five perspectives: human-centered directors, authorship guardians, conflicted co-creators, pragmatic integrators, and enthusiastic explorers.
- Authors propose two-dimensional framework mapping openness to GenAI against willingness to share creative agency, to inform tailored pedagogy and human-centered tool design.
Art students classified as enthusiastic explorers and human-centered directors report using generative AI as a controllable tool that enables novel expression and co-agency in creative work.
Art students classified as authorship guardians and conflicted co-creators report resistance to AI co-authorship and struggles with ownership, disclosure, authenticity, and earned pride when collaborating with generative AI.
The rundown
Researchers conducted a Q study in which 40 art-related university students sorted 42 statements about GenAI collaboration, authorship, ethics, and creative control, then analyzed sorts by-person to extract shared viewpoints.
The five factors were labeled human-centered directors who keep strong human intention, authorship guardians who prioritize authenticity, conflicted co-creators who use tools but worry about disclosure, pragmatic integrators focused on workflow efficiency, and enthusiastic explorers open to co-agency.
Findings are based on a small Q sample of 40 students and subjective sorting, limiting generalizability beyond the studied art disciplines and academic levels.
Sources
- Peer-reviewedEducation and Information Technologies2026-02-28
How should this claim be treated?
The debate