Explainable AI for the Arts 2 (XAIxArts2)-Reference-Cited by-同舟云学术

Explainable AI for the Arts 2 (XAIxArts2)

Published:2024-06-23 Issue: Volume: Page:86-92
ISSN:
Container-title:Creativity and Cognition
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Author:

Bryan-Kinns Nick¹^ORCID,Ford Corey²^ORCID,Zheng Shuoyang²^ORCID,Kennedy Helen³^ORCID,Chamberlain Alan³^ORCID,Lewis Makayla⁴^ORCID,Hemment Drew⁵^ORCID,Li Zijin⁶^ORCID,Wu Qiong⁷^ORCID,Xiao Lanxi⁷^ORCID,Xia Gus⁸^ORCID,Rezwana Jeba⁹^ORCID,Clemens Michael¹⁰^ORCID,Vigliensoni Gabriel¹¹^ORCID

Affiliation:

1. University of the Arts London, United Kingdom

2. Queen Mary University of London, United Kingdom

3. University of Nottingham, United Kingdom

4. Kingston University, United Kingdom

5. Edinburgh Futures Institute, University of Edinburgh, United Kingdom

6. Central Conservatory of Music, China

7. Tsinghua University, China

8. MBZUAI, United Arab Emirates

9. Towson University, United States

10. University of Utah, United States

11. Concordia University, Canada

Publisher

ACM

Reference30 articles.

1. Luís Arandas, Mick Grierson, and Miguel Carvalhais. 2023. Antagonising explanation and revealing bias directly through sequencing and multimodal inference. In Proceedings of The first international workshop on eXplainable AI for the Arts (XAIxArts). arxiv:2309.12345 [cs.HC]

2. Jack Armitage Nicola Privato Victor Shepardson and Celeste Betancur Gutierrez. 2023. Explainable AI in Music Performance: Case Studies from Live Coding and Sound Spatialisation. In XAI in Action: Past Present and Future Applications. https://openreview.net/forum?id=se4ojQqjB5

3. Cheshta Arora and Debarun Sarkar. 2023. On the Injunction of XAIxArt. In Proceedings of The first international workshop on eXplainable AI for the Arts (XAIxArts). arxiv:2309.06227 [cs.HC]

4. Marianne Bossema, Rob Saunders, and Somaya Ben Allouch. 2023. Human-Machine Co-Creativity with Older Adults – A Learning Community to Study Explainable Dialogues. In Proceedings of The first international workshop on eXplainable AI for the Arts (XAIxArts). arxiv:2309.07028 [cs.HC]

5. Nick Bryan-Kinns. 2021. XAIArt: eXplainable Artificial Intelligence and the Arts. Keynote at The 3rd IEEE Workshop on Artificial Intelligence for Art Creation, MIPR 2021, Japan. https://aiart2021.github.io