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dc.contributor.authorW. White, Christopher
dc.date.accessioned2026-03-16T15:40:16Z
dc.date.available2026-03-16T15:40:16Z
dc.date.issued2025
dc.identifier.urihttps://oapen-dev.siscern.org/handle/20.500.12657/108846
dc.description.abstractMusic poses unique and complex challenges for artificial intelligence, even as 21st-century AI grows ever more adept at generating compelling content. The AI Music Problem: Why Machine Learning Conflicts With Musical Creativity probes the challenges behind AI-generated music, with an investigation that straddles the technical, the musical, and the aesthetic. Bringing together the perspectives of the humanities and computer science, the author shows how the difficulties that music poses for AI connect to larger questions about music, artistic expression, and the increasing ubiquity of artificial intelligence. Taking a wide view of the current landscape of machine learning and Large Language Models, The AI Music Problem offers a resource for students, researchers, and the public to understand the broader issues surrounding musical AI on both technical and artistic levels. The author breaks down music theory and computer science concepts with clear and accessible explanations, synthesizing the technical with more holistic and human-centric analyses. Enabling readers of all backgrounds to understand how contemporary AI models work and why music is often a mismatch for those processes, this book is relevant to all those engaging with the intersection between AI and musical creativity today.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications::UGM Digital music: professional
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
dc.subject.classificationthema EDItEUR::A The Arts::AV Music
dc.subject.classificationthema EDItEUR::A The Arts::AV Music::AVA Theory of music and musicology
dc.subject.otherAI
dc.subject.otherArtificial intelligence
dc.subject.otherMusic
dc.subject.otherComposition
dc.subject.otherMusic composition
dc.subject.otherCreativity
dc.subject.otherMusic technology
dc.subject.otherMusic theory
dc.subject.otherMusicology
dc.subject.otherComputer science
dc.subject.otherDigital humanities
dc.subject.otherLLM
dc.subject.otherLarge Language Modeling
dc.subject.otherLarge Language Model
dc.subject.otherMachine learning
dc.subject.otherGenerative AI
dc.subject.otherMusical AI
dc.subject.otherComputer engineering
dc.titleChapter Interpreting musical artificial intelligence
dc.title.alternativeIN Book: The AI Music Problem
dc.typechapter
oapen.identifier.doi10.4324/9781003587415-6
oapen.relation.isPublishedBy7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb
oapen.relation.isbn9781003587415
oapen.relation.isbn9781032959764
oapen.relation.isbn9781032959757
oapen.imprintRoutledge
oapen.pages148 - 180
oapen.place.publicationNew York


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