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Neither tool nor collaborator: Rethinking human–AI co-creativity in artistic practice with material engagement theory
Rozental,Sonja de Rooij,Alwin
Rozental,Sonja
de Rooij,Alwin
Abstract
Human–AI co-creativity is often understood through a tool-use or collaboration frame, obscuring the relational dynamics of artistic practice with machine learning (ML) systems. To advance the field, we recast such artistic practice through Material Engagement Theory (MET), emphasizing how creative and aesthetic processes emerge in sustained relations between artist and system. We examined 18 contemporary artists’ engagements with ML from 54 documents using a qualitative, interpretive, and framework-guided approach. Our findings show how artists and ML systems co-constitute creative and aesthetic properties by mutually discovering and attuning to each other’s affordances, where creativity unfolds along a control-chance continuum driven by creative and aesthetic thinging, enabling a mutual aesthetic becoming through sustained interaction. Key factors include developing artistic intuition for ML, internalisation, and the evolving role of the meta-artist. Herewith, we contribute MET as a framework for enriching our understanding of human–AI co-creativity as emergent and relational.
Description
Date
2025
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Volume Title
Publisher
Research Projects
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Keywords
aesthetic experience, AI art, artificial intelligence (AI), artistic practice, human-AI co-creativity, machine learning (ML), material engagement theory
Citation
Rozental, S & de Rooij, A 2025, 'Neither tool nor collaborator : Rethinking human–AI co-creativity in artistic practice with material engagement theory'. https://doi.org/10.31234/osf.io/ktqgz_v1