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Embodied Exploration of Latent Spaces and Explainable AI

18 October 2024
Elizabeth Wilson
Mika Satomi
Alex McLean
Deva Schubert
Juan Felipe Amaya Gonzalez
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Abstract

In this paper, we explore how performers' embodied interactions with a Neural Audio Synthesis model allow the exploration of the latent space of such a model, mediated through movements sensed by e-textiles. We provide background and context for the performance, highlighting the potential of embodied practices to contribute to developing explainable AI systems. By integrating various artistic domains with explainable AI principles, our interdisciplinary exploration contributes to the discourse on art, embodiment, and AI, offering insights into intuitive approaches found through bodily expression.

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