Our research team has recently published several critical papers on generative and creative AI topics. Here is a brief summary of a selection of them, with links. Enjoy reading!

Jääskeläinen, P., Sharma, N., Pallett, H. et al. Intersectional analysis of visual generative AI: the case of Stable Diffusion. AI & Soc 40, 4341–4362 (2025). [Link: https://doi.org/10.1007/s00146-025-02207-y]

• Visual Generative AI (vGenAI) technologies mirror society’s prevailing visual politics in a mediated form, and actively contribute to the perpetuation of deeply ingrained assumptions, categories, values, and aesthetic representations. Drawing from feminist STS, visual media studies, and intersectional critical theory, this paper contributes a critical analysis of Stable Diffusion, covering aesthetics, institutional contexts, and intersections between power systems, and arguing for a need to acknowledge and render visible the cultural-aesthetic politics of this technology and to engage in reparative approaches that aim to symbolically and materially mend injustices enacted against social groups.

Kanhov, E., Kaila, A. K., & Sturm, B. L. T. (2024). Innovation, data colonialism and ethics: critical reflections on the impacts of AI on Irish traditional music. Journal of New Music Research, 53(1–2), 47–63. [Link: https://doi.org/10.1080/09298215.2024.2442359]

• This work examines the impact of research and development of AI on Irish traditional music through case studies of two generative AI systems: folk-rnn and Suno, and inquires critically into the tensions that arise between tradition and innovation, how Irish traditional music becomes subject to data colonialism, and the interdisciplinary challenges of ethically engaging as researchers with a traditional music community.

Cotton, K., Kaila, A., Jääskeläinen, P., Holzapfel, A. & Tatar, K. 2025. Imploding between the facts and concerns: analysing human–AI musical interaction. Humanities and Social Sciences Communications volume 12, 754. [Link: https://doi.org/10.1057/s41599-025-04533-4]

• A study conducted in collaboration with colleagues from Chalmers, Kelsey Cotton and Kıvanç Tatar, this article explores the dynamic exchanges of control and power and framings of AI-agents’ roles in music performances. Drawing from post-phenomenology and feminist STS, the paper contributes a novel interdisciplinary analytical method for visibilising and examining the entanglements in Human–AI musical interactions.

Jääskeläinen, P., Sanchez, C. and Holzapfel, A. 2025. Anticipatory Technology Ethics Reflection By Eliciting Creative AI Imaginaries Through Fictional Research Abstracts. In Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’25). Association for Computing Machinery, New York, NY, USA, 125–136. [Link: https://doi.org/10.1145/3715275.3732011]

• This paper presents the results of two workshops with Creative AI practitioners in writing fictional research abstracts (FRA). We analyse the imaginaries within the abstracts and reflect on how the FRAs engaged with ethical questions using the Anticipatory Technology Ethics perspectives of technology, artefact, and application. The work contributes to the empirical understanding of the ethical concerns of future Creative AI technologies and their role in society.