Sep 2026· OPUS Journal of Society Research· 0 citations· 13 references
TL;DR
The findings indicate that these platforms do not eliminate creative agency but render it discursively ambiguous by offering users a symbolic creative subject position while obscuring the distributed agency underlying production.
Abstract
Generative AI music platforms promise to facilitate creative production without advanced technical skills. This study analyzed an approximately 22,000-word corpus of interface texts, terms of use, marketing materials, and blog posts from Suno, Udio, AIVA, and Soundraw using Fairclough’s Critical Discourse Analysis and Lakoff and Johnson’s conceptual metaphor theory. It examined how platform texts construct power relations and attribute agency. Three tendencies emerged. The agency game denotes the tension between the creative agency attributed to users in interface discourse and the contractual limits imposed through licensing and ownership clauses. The illusion of transparency denotes the backgrounding of algorithmic operation behind metaphors of magic, tool, and partnership. The rhetoric of democratization reflects the ideological function of the “anyone can be a musician” framing, which may bear on how professional expertise is valued. Disclosure of training material was assessed at three levels of specificity. Three analytical units on two platforms described in general terms where training material was obtained, one under litigation and two as a commercial guarantee; none identified specific works or datasets, and none disclosed any consent, attribution, or compensation mechanism for the relevant rights holders. The findings indicate that these platforms do not eliminate creative agency but render it discursively ambiguous by offering users a symbolic creative subject position while obscuring the distributed agency underlying production.
A conceptual analysis of AI-generated music as a sociotechnical practice that reshapes not only ideas of creativity and authorship, but also the material conditions under which human artists work is developed.
It is argued that AI generative music platforms are often trained on Western datasets, lack culture neutrality but carry inherent epistemological values, so as these technologies are increasingly adopted, they bear the risk of erasing Indigenous African knowledge systems embedded in African musical traditions.
James Maisiri, Awakhiwe Thabiso Ncube· AI & SOCIETY· 0 citations
This article investigates the negotiation of artistic and evaluative legitimacy following the introduction of generative artificial intelligence (gAI) tools in a university-level drawing course. By examining the lived experiences of ten art education students and three lecturers at the University of Education, Winneba...
Ebenezer Kow Abraham, T. Mensah, E. Buxton· Image & Text· 0 citations
The preliminary findings suggest that experiencing AI as a collaborative partner is not necessarily in tension with feeling like the author of the work, and highlight the importance of studying alternative non-conversational interface paradigms that help integrate AI into a human-led creative process.
Eugénie Desmedt, Dominik Arnstorfer, Martina Mara· Adjunct Proceedings of the 1...· 0 citations
This study investigates contemporary visual artists’ perceptions of the artist's statement, focusing on its role, functions, and influence on creative practice. Although the artist's statement has become a near-obligatory component of professional artmaking, previous research has largely prioritised textual or theo...
Darryl Hocking· Journal of Applied Linguisti...· 0 citations
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