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Proceedings of The first international workshop on eXplainable AI for the Arts (XAIxArts)
Nick Bryan-Kinns, Corey Ford, Alan Chamberlain, Steven David Benford, Helen Kennedy, Zijin Li, Wu Qiong, Gus G. Xia, Jeba Rezwana
October 10, 2023
arXiv.org
Key Takeaways
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XAI needs interdisciplinary perspectives: The workshop brought together researchers from HCI, Interaction Design, AI, and digital arts, suggesting that explaining AI systems effectively requires insights beyond computer science alone—including design thinking and artistic practice.
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Explainability matters for creative applications: By dedicating an entire international workshop to explainable AI specifically for the arts, the organizers highlighted that transparency and interpretability are important considerations even in creative and cultural domains, not just high-stakes decision-making systems.
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Arts and creativity present unique XAI challenges: The focus on arts-specific applications suggests that general XAI approaches may not adequately address how AI is used in creative contexts, where factors like artistic intent, aesthetic judgment, and cultural meaning-making differ from traditional AI applications.
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Growing recognition of AI's role in creative fields: The establishment of this workshop at a major creativity and cognition conference (C&C 2023) indicates increasing awareness that AI systems are becoming integrated into artistic and creative practices, making responsible and transparent AI design a concern for artists and designers.
Abstract
This first 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 15th ACM Conference on Creativity and Cognition (C&C 2023).