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XAIxArts manifesto: Explainable AI for the Arts

  • Nick Bryan-Kinns
  • , Shuoyang Zheng
  • , Francisco Castro
  • , Makayla Lewis,
  • , Jia-Rey Chang
  • , Gabriel Vigliensoni
  • , Terence Broad
  • , Michael Paul Clemens
  • , Elizabeth Wilson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

39 Downloads (Pure)

Abstract

Explainable AI (XAI) is concerned with how to make AI models more understandable to people. To date these explanations have predominantly been technocentric - mechanistic or productivity oriented. This paper introduces the Explainable AI for the Arts (XAIxArts) manifesto to provoke new ways of thinking about explainability and AI beyond technocentric discourses. Manifestos offer a means to communicate ideas, amplify unheard voices, and foster reflection on practice. To supports the co-creation and revision of the XAIxArts manifesto we combine a World Café style discussion format with a living manifesto to question four core themes: 1) Empowerment, Inclusion, and Fairness; 2) Valuing Artistic Practice; 3) Hacking and Glitches; and 4) Openness. Through our interactive living manifesto experience we invite participants to actively engage in shaping this XIAxArts vision within the CHI community and beyond.
Original languageEnglish
Title of host publicationCHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
EditorsNaomi Yamashita, Vanessa Evers
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400713958
DOIs
Publication statusPublished - 25 Apr 2025
EventCHI Conference on Human Factors in Computing Systems 2025 - PACIFICO Yokohama , Yokohama, Japan
Duration: 26 Apr 202501 May 2025
https://chi2025.acm.org/

Conference

ConferenceCHI Conference on Human Factors in Computing Systems 2025
Country/TerritoryJapan
CityYokohama
Period26/04/202501/05/2025
Internet address

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