English

Embodied Exploration of Latent Spaces and Explainable AI

Sound 2024-10-21 v1 Computers and Society Human-Computer Interaction Audio and Speech Processing

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.

Keywords

Cite

@article{arxiv.2410.14590,
  title  = {Embodied Exploration of Latent Spaces and Explainable AI},
  author = {Elizabeth Wilson and Mika Satomi and Alex McLean and Deva Schubert and Juan Felipe Amaya Gonzalez},
  journal= {arXiv preprint arXiv:2410.14590},
  year   = {2024}
}

Comments

In Proceedings of Explainable AI for the Arts Workshop 2024 (XAIxArts 2024) arXiv:2406.14485