The AI Music Problem
Music 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 t...
Furkejuvvon:
| Váldodahkki: | |
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| Materiálatiipa: | Online |
| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
Taylor & Francis
2026
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| Fáttát: | |
| Liŋkkat: | https://library.oapen.org/handle/20.500.12657/110351 |
| Fáddágilkorat: |
Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!
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| _version_ | 1869526211401613312 |
|---|---|
| author | W. White, Christopher |
| author_browse | W. White, Christopher |
| author_facet | W. White, Christopher |
| author_sort | W. White, Christopher |
| collection | Directory of Open Access Books |
| description | Music 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. |
| format | Online |
| id | doab-20.500.12854ir-173036 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1730362026-03-01T06:20:23Z The AI Music Problem W. White, Christopher AI Artificial intelligence Music Composition Music composition Creativity Music technology Music theory Musicology Computer science Digital humanities LLM Large Language Modeling Large Language Model Machine learning Generative AI Musical AI Computer engineering thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications::UGM Digital music: professional thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::A The Arts::AV Music thema EDItEUR::A The Arts::AV Music::AVA Theory of music and musicology Music 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. 2026-03-01T06:20:17Z 2026-03-01T06:20:17Z 2026-02-28T20:23:52Z 2025 book https://library.oapen.org/handle/20.500.12657/110351 9781003587415 9781032959764 9781032959757 https://directory.doabooks.org/handle/20.500.12854/173036 eng open access Taylor & Francis Routledge 10.4324/9781003587415 10.4324/9781003587415 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 9781003587415 9781032959764 9781032959757 Routledge 1 New York open access |
| spellingShingle | AI Artificial intelligence Music Composition Music composition Creativity Music technology Music theory Musicology Computer science Digital humanities LLM Large Language Modeling Large Language Model Machine learning Generative AI Musical AI Computer engineering thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications::UGM Digital music: professional thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::A The Arts::AV Music thema EDItEUR::A The Arts::AV Music::AVA Theory of music and musicology W. White, Christopher The AI Music Problem |
| title | The AI Music Problem |
| title_full | The AI Music Problem |
| title_fullStr | The AI Music Problem |
| title_full_unstemmed | The AI Music Problem |
| title_short | The AI Music Problem |
| title_sort | ai music problem |
| topic | AI Artificial intelligence Music Composition Music composition Creativity Music technology Music theory Musicology Computer science Digital humanities LLM Large Language Modeling Large Language Model Machine learning Generative AI Musical AI Computer engineering thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications::UGM Digital music: professional thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::A The Arts::AV Music thema EDItEUR::A The Arts::AV Music::AVA Theory of music and musicology |
| topic_facet | AI Artificial intelligence Music Composition Music composition Creativity Music technology Music theory Musicology Computer science Digital humanities LLM Large Language Modeling Large Language Model Machine learning Generative AI Musical AI Computer engineering thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications::UGM Digital music: professional thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::A The Arts::AV Music thema EDItEUR::A The Arts::AV Music::AVA Theory of music and musicology |
| url | https://library.oapen.org/handle/20.500.12657/110351 |
| work_keys_str_mv | AT wwhitechristopher theaimusicproblem AT wwhitechristopher aimusicproblem |