Embodying the Glitch: Perspectives on Generative AI in Dance Practice
Benedikte Wallace, Charles P. Martin
TL;DR
This paper explores how AI-generated glitches and mistakes can serve as creative inspiration in dance composition, highlighting the artistic potential of imperfections in generative AI tools.
Contribution
It introduces a novel perspective on using AI 'mistakes' as a creative resource in dance, emphasizing the role of glitches in artistic practice.
Findings
AI-generated glitches inspire new dance movements
Glitches challenge traditional notions of realism in art
Mistakes open novel creative pathways
Abstract
What role does the break from realism play in the potential for generative artificial intelligence as a creative tool? Through exploration of glitch, we examine the prospective value of these artefacts in creative practice. This paper describes findings from an exploration of AI-generated "mistakes" when using movement produced by a generative deep learning model as an inspiration source in dance composition.
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Taxonomy
TopicsGenerative Adversarial Networks and Image Synthesis · Human Motion and Animation · Music Technology and Sound Studies