Proceedings of The second international workshop on eXplainable AI for the Arts (XAIxArts)
Nick Bryan-Kinns, Corey Ford, Shuoyang Zheng, Helen Kennedy, Alan, Chamberlain, Makayla Lewis, Drew Hemment, Zijin Li, Qiong Wu, Lanxi Xiao, Gus, Xia, Jeba Rezwana, Michael Clemens, and Gabriel Vigliensoni
TL;DR
This workshop paper discusses the role of explainable AI in the arts, bringing together interdisciplinary researchers to explore how XAI can enhance creativity and understanding in digital arts.
Contribution
It introduces a collaborative platform for interdisciplinary research on XAI in arts and presents initial insights from the workshop discussions.
Findings
Interdisciplinary approaches to XAI in arts
Potential applications of XAI for artistic creativity
Challenges and opportunities in explainable AI for arts
Abstract
This second 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 16th ACM Conference on Creativity and Cognition (C&C 2024), Chicago, USA.
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Taxonomy
TopicsExplainable Artificial Intelligence (XAI) · Artificial Intelligence in Games · Multimodal Machine Learning Applications