Proceedings of The third international workshop on eXplainable AI for the Arts (XAIxArts)
Corey Ford, Elizabeth Wilson, Shuoyang Zheng, Gabriel Vigliensoni, Jeba Rezwana, Lanxi Xiao, Michael Clemens, Makayla Lewis, Drew Hemment, Alan Chamberlain, Helen Kennedy, Nick Bryan-Kinns
TL;DR
This workshop paper discusses the role of explainable AI in the arts, bringing together interdisciplinary researchers to explore its applications and implications in creative fields.
Contribution
It introduces a collaborative platform for researchers to share insights and advances in explainable AI tailored for artistic and creative domains.
Findings
Fosters interdisciplinary collaboration in XAI for arts
Highlights emerging challenges and opportunities in XAI for creative fields
Encourages development of tailored XAI methods for arts applications
Abstract
This third international workshop on explainable AI for the Arts (XAIxArts) brought together a community of researchers in HCI, Interaction Design, AI, explainable AI (XAI), and digital arts to explore the role of XAI for the Arts. Workshop held at the 17th ACM Conference on Creativity and Cognition (C&C 2025), online.
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Taxonomy
TopicsExplainable Artificial Intelligence (XAI) · Multimodal Machine Learning Applications · Artificial Intelligence in Games