Explainable AI for the Arts: XAIxArts

Bryan-Kinns, Nick; Ford, Corey; Chamberlain, Alan; Benford, Steven David; Kennedy, Helen; Li, Zijin; Qiong, Wu; Xia, Gus G.; Rezwana, Jeba

Abstract

This first workshop on explainable AI for the Arts (XAIxArts) brings together a community of researchers and creative practitioners in Human-Computer Interaction (HCI), Interaction Design, AI, explainable AI (XAI), and Digital Arts to explore the role of XAI for the Arts. XAI is a core concern of Human-Centred AI and relies heavily on HCI techniques to explore how complex and difficult to understand AI models such as deep learning techniques can be made more understandable to people. However, XAI research has primarily focused on work-oriented and task-oriented explanations of AI and there has been little research on XAI for creative domains such as the Arts. This workshop will: i) build an XAIxArts research community; ii) map out the current and future possible landscapes of XAIxArts; iii) critically reflect on the potential of XAI for the Arts, forming the basis for an edited book on XAIxArts and an international network of researchers.

Citation

Bryan-Kinns, N., Ford, C., Chamberlain, A., Benford, S. D., Kennedy, H., Li, Z., Qiong, W., Xia, G. G., & Rezwana, J. (2023, June). Explainable AI for the Arts: XAIxArts. Presented at 15th Conference on Creativity and Cognition (C&C 23), New York, NY

• Presentation Conference Type: Edited Proceedings
• Conference Name: 15th Conference on Creativity and Cognition (C&C 23)
• Start Date: Jun 19, 2023
• End Date: Jun 21, 2023
• Acceptance Date: Apr 18, 2023
• Online Publication Date: Jun 19, 2023
• Publication Date: Jun 19, 2023
• Deposit Date: Jul 7, 2023
• Publicly Available Date: Jul 26, 2023
• Publisher: Association for Computing Machinery (ACM)
• Book Title: C&C '23: Proceedings of the 15th Conference on Creativity and Cognition
• ISBN: 9798400701801
• DOI: https://doi.org/10.1145/3591196.3593517
• Keywords: AI; Art; HCI; Explainability; Music; Design; Trust
• Public URL: https://nottingham-repository.worktribe.com/output/22186537
• Publisher URL: https://dl.acm.org/doi/10.1145/3591196.3593517