XAIxArts Manifesto: Explainable AI for the Arts
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 Caf\'e 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.
Cite
@article{arxiv.2502.21220,
title = {XAIxArts Manifesto: Explainable AI for the Arts},
author = {Nick Bryan-Kinns and Shuoyang Jasper Zheng and Francisco Castro and Makayla Lewis and Jia-Rey Chang and Gabriel Vigliensoni and Terence Broad and Michael Clemens and Elizabeth Wilson},
journal= {arXiv preprint arXiv:2502.21220},
year = {2025}
}
Comments
Author version of paper in: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, April 26-May 1, 2025, Yokohama, Japan DOI 10.1145/3706599.3716227 ISBN 979-8-4007-1395-8/25/04