Embodied Exploration of Latent Spaces and Explainable AI

TL;DR

This paper explores 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, to contribute to developing explainable AI systems.

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.

Figures (2)

• Figure 1:
• Figure 2: Performer Manoela Rangel exploring latent decoding with sensors on the body. Image Credit: Frank Sperling, https://franksperling.net/Info.