Affiliation:
1. Faculty of Engineering, Free University of Bozen-Bolzano
Abstract
The design of robust and trustworthy Generative AI (GenAI) requires a deep understanding of the agencies emerging from human interactions with them. To contribute to this goal, we retrospectively studied an art project involving a visual artist, a computer scientist, an artistic director, and a generative model (GPT-2). The model was fine-tuned with trip reports describing the experience of eating psychedelic mushrooms. Building on agential realism, we analysed the co-performance between the artist and the model as their agency moved along the choreographer-performer continuum. Results reveal ontological surprises, leading to the proposal of
entangled authorship
to de-individualise the production of knowledge from a More Than Human perspective. The paper illustrates how art can expose different forms of relationships, challenging the idea of GenAI as just a tool that simplifies or replaces human labour. We conclude by emphasising the transformational potential of GenAI for novel modes of engagement between humans and machines.
Publisher
Association for Computing Machinery (ACM)
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