Explainable AI for the Arts

Erscheinungsjahr 2027
ISBN: 978-3-032-44106-5
Verlag: Springer

Buch, Englisch, 230 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Springer Series on Cultural Computing

This book collects together chapters which will be expanded versions of short papers contributed to the international workshop series on explainable AI for the Arts (XAIxArts) 2023, 2024, and 2025. The workshop series 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 to make complex and difficult to understand AI models more understandable to people. Our first workshop explored the landscape of XAIxArts and identified emergent themes, whilst the second iteration focused on co-developing a manifesto. The third workshop expanded the XAIxArts community, advanced discussions on current and emerging XAIxArts practices and identified areas for intervention using speculative futures.

The collection of papers will be framed by an updated and revised version of our XAIxArts Manifesto which was developed in the XAIxArts workshops and first published in the ACM CHI conference 2025.

Autoren/Hrsg.

Bryan-Kinns, Nick

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Geisteswissenschaften Kunst Kunstgeschichte
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion

Inhaltsverzeichnis

.- Introduction.
.- ArtisticPracticewithXAI.
.- AContext-SensitiveApproachtoXAIinMusicandtheArts.
.- ExplainabilityPathsforSustainedMusicalPracticewithAI.
.-ExplainableAIthroughtheLensofMaterialAgency:EnablingMusicalInterfaceDesignwithNeuralAudioModels.
.- PerformedCollective,DistributedandRelationalIntelligencetoFacilitate ExplainableAI.
.- WhyAIFails:ExplainingandReflectingonAIBiasthroughInteractiveArt Installations.
.- ArtsQuestioningXAI.
.- ExplainingAIthroughArtisticPractice.
.- AttentionofaKiss:GenerativeVideoAttentionMapsasExplainableand CreativeMaterial.
.- DefamiliarizingAIforExplainability.
.- ExperientialAI:Enablingculturalmeaning-makingthroughdimensional exploration.
.- MethodsandToolsforXAIxArts.
.- DesigningaRashomonMachine:Pluri-perspectivismandXAIfor CreativitySupport.
.- DesigningExplainableAItoSupportPerson-CentredOutcomesinCreative andArtisticActivities.
.- ExplainableAIChallengesintheUseofMarginalisedMusicGenresinAI.
.- ExplainableSustainabilityforAIintheArts.

Über Autor(innen)

Nick Bryan-Kinns is Professor of Creative Computing at the Creative Computing Institute, University of the Arts London. He is a Fellow of the Royal Society of Arts, Fellow of the British Computer Society, and Senior Member of the Association of Computing Machinery (ACM). Bryan-Kinns has published award winning international journal and conference papers on his extensively funded user experience research on Responsible and Explainable AI and the Arts, cross-cultural design, co-design, interactive art, and tangible interfaces. His research is reported widely in publications such as the New Scientist, and media outlets such as BBC, and exhibited at venues such as the Science Museum, London. Prof. Bryan-Kinns is a recipient of the ACM and BCS Recognition of Service Awards and received his PhD in Human Computer Interaction in 1998 from the University of London