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Co-Creation with AI in Community-Based Art Mediation: A Participatory Approach to AI Text-to-Image Generation (94057)

Session Information: ECAH2025 | AI, Arts, and the Humanities
Session Chair: Ning Luo

Sunday, 13 July 2025 15:15
Session: Session 4
Room: UCL Torrington, B07 (Basement Floor)
Presentation Type:Oral Presentation

All presentation times are UTC + 1 (Europe/London)

The integration of AI-generated art in participatory art mediation presents new opportunities for co-creative Narrative and self-representation. This study investigates how AI text-to-image generation can facilitate community-driven artistic practices, particularly among Chinese women in German-speaking countries, who experience contrasting temporal frameworks—negotiating between Eastern collectivist time structures and Western individualistic time-management paradigms. Employing a practice-based participatory art approach, this study conducted five workshops across Hamburg, Berlin, and Dresden, engaging 20 participants with no prior experience in AI-generated art. The workshops incorporated Krea.ai as a co-creative tool, alongside an innovative AI Narrative Logic Cards system, a structured prompt framework designed to help participants translate personal emotions, cultural identities, and spatial-temporal perceptions into AI-generated visuals. Rather than treating AI as an autonomous creator, the framework positions AI as a collaborative agent, enabling participants to modify, critique, and reinterpret AI-generated images within a shared artistic process.The research examines three key questions:(1) How can AI text-to-image generation function as a co-creative tool in community-based participatory art mediation?(2) How does structured prompt design (AI Narrative Logic Cards) support participants in navigating AI’s creative affordances and representational limitations?(3) What challenges arise in using AI to depict culturally specific and subjective notions of time?Preliminary findings suggest that while AI enables non-linear and alternative temporal storytelling, it also replicates algorithmic biases, particularly in representing Asian women’s identities and intergenerational temporal structures. This study contributes to discussions on AI-assisted participatory art, feminist digital storytelling, and art mediation, advocating for more inclusive and culturally adaptive AI tools in community-based art education.

Authors:
Sifan Pan, University of Art and Design Linz, Austria


About the Presenter(s)
Sifan Pan | Ph.D. Candidate, University of Art and Design Linz | Researching AI-assisted participatory art mediation, focusing on generative AI, feminist digital storytelling, and cross-cultural time perception in community-based art practices.

Connect on Linkedin
https://linkedin.com/in/sifan-pan

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Posted by James Alexander Gordon

Last updated: 2023-02-23 23:45:00