Explainable AI for the Arts Workshop (XAIxArts 2023) at the ACM Creativity and Cognition Conference 2023

This first international workshop on explainable AI for the Arts (XAIxArts) brings together researchers across Human-Computer Interaction, Artificial Intelligence, and Digital Arts to explore the potential that explainable AI (XAI) has for the Arts.

The workshop will question the nature, meaning, and role of the explainability of AI for the Arts. The goals of this online workshop are to: 

* Build an interdisciplinary XAIxArts research community and network; 

* Map out the current and future possible landscapes of XAIxArts;

* Critically reflect on the potential of XAI for the Arts, forming the basis for future collaborations and publications;

* Develop ideas for an outline proposal for an edited book on XAIxArts.

Submission Guidelines

To participate in the workshop please submit either A) a position paper OR B) a short video to the workshop submission system. Your submission should tell us about your XAI and/ or Arts research and practice addressing the themes and open questions on the workshop website. For submission requirements please see the workshop website. 

Participants will be selected based on the quality of their contribution to the debate about XAIxArts with a view to creating a balance of topics in the workshop. Papers and videos will be made available on the workshop website prior to the workshop and copyright is retained by authors. The workshop will take place online with the option for hybrid participation where appropriate.

Accepted participants will need to register for our workshop via the ACM Creativity and Cognition 2023 conference website.

Committees

Organizing committee

• Nick Bryan-Kinns, Queen Mary University of London, United Kingdom
• Corey Ford, Queen Mary University of London, United Kingdom
• Alan Chamberlain, University of Nottingham, United Kingdom
• Steve Benford, University of Nottingham, United Kingdom
• Helen Kennedy, University of Nottingham, United Kingdom
• Zijin Li, Central Conservatory of Music, China
• Wu Qiong, Tsinghua University, China
• Gus Xia, NYU Shanghai, China
• Jeba Rezwana, University of North Carolina at Charlotte, USA

Contact

All questions about submissions should be emailed to n.bryan-kinns@qmul.ac.uk