This study explores how AI-generated personas, which were originally developed as marketing research tools to model audience behavior, can be reimagined for application in fine art and media art research. In marketing, personas are used as predictive models that simulate human responses, but in art-based research they become dynamic tools capable of demonstrating creative tendencies and possible emotional responses. This research translates this marketing approach into an artistic context, treating AI personas as both collaborators and conceptual mirrors that help examine questions of identity, authorship, and digital existence. When incorporated into interactive and virtual installations, AI personas expand beyond their analytical origins and enter a reflective, experiential domain. The project offers a new methodology for media art research that combines computational simulation with qualitative interpretation and audience engagement. It invites artists to encounter and interact with algorithmic beings, prompting reflection on what it means to create, to exist, and to relate in a world where human and artificial identities increasingly intertwine.

Authors:
Zhino Yousefi, York University, Canada

About the Presenter(s)
Zhino Yousefi is currently a PhD candidate in Digital Media at York University, Toronto, Canada. She is interested in art history, VR/AR and AI generative art.

See this presentation on the full schedule – Monday Schedule

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