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Musiken, skapandet och den artificiella intelligensen: Musikers föreställningar och uppfattningar om AI-genererad musik
Dalarna University, School of Culture and Society.
2024 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Music, creativity and the artificial intelligence : Musicians’ perceptions and views on AI-generated music (English)
Abstract [en]

The aim of this study was to contribute to an increased understanding of how the rapid development in AI technology affects the attitude of musicians and music practitioners towards AI aids in the musical field. The study was designed as a multiple case study in which, firstly, seven musicians were interviewed about the study's areas of interest, secondly, a high school class on a music program was asked through a survey. The methodological approach was hermeneutic and data material from interviews and questionnaires was analyzed and categorized. In the final comparison between the two participant groups, the main theme was formulated: knowledge of and thinking about the phenomenon of AI leads to a narrative that is neither utopian nor dystopian; where both the advantages and the disadvantages of technology are recognized and where a global regulation of AI is in demand.

Place, publisher, year, edition, pages
2024.
Keywords [en]
artificial intelligence, music creation, attitudes, narrative
National Category
Music
Identifiers
URN: urn:nbn:se:du-47976OAI: oai:DiVA.org:du-47976DiVA, id: diva2:1834706
Subject / course
Sound and Music Production
Available from: 2024-02-05 Created: 2024-02-05Bibliographically approved

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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf