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Precious Camouflage - A Dance Performance Interweaving Human Movement and Artificial Intelligence

Published: 03 April 2024 Publication History

Abstract

This paper presents the layout created for Precious Camouflage, a dance performance that entangles human movement and artificial intelligence (AI) in a museal space. The performance, which features four dancers and five AI systems, challenges traditional notions of performance and authorship, and serves as a reflection on the rapid development of digital technologies and their societal implications. This is done by staging different kinds of agency in a communicative setup and a mesh of interactions accompanied by extended research on ethical questions with a focus point on bodies in datasets. In this paper we present the research to develop the piece. Background information and the recorded performance can be found at http://www.precious.dance.

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Memo Aktens. 2016. Review of machine / deep learning in an artistic context. Accessed October 18, 2023. https://medium.com/machine-intelligence-report/machine-deep-learning-in-an-artistic-context-441f28774bcc
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  1. Precious Camouflage - A Dance Performance Interweaving Human Movement and Artificial Intelligence

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      cover image ACM Other conferences
      ARTECH '23: Proceedings of the 11th International Conference on Digital and Interactive Arts
      November 2023
      335 pages
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 03 April 2024

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      Author Tags

      1. AI
      2. Agency
      3. Body
      4. Dance
      5. Digital Art
      6. Ethics
      7. Live Interaction
      8. Performance Art

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      ARTECH 2023

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      Overall Acceptance Rate 128 of 238 submissions, 54%

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