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Reframing “Aura”: Authenticity in the application of AI to Irish traditional music
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-2549-6367
2021 (English)In: 2nd Conference on AI Music Creativity 2021, 2021Conference paper, Published paper (Refereed)
Abstract [en]

Through a case study on the interaction between artificial intelligence(Ai) and Irish traditional music, we investigate contested issues of artistic agencyand the meaning of the “authentic” in a world of Ai-generated music. Weconsider musical authenticity from three perspectives: 1) the source/cause of art;2) the art itself; and 3) the recipient. Throughout, we adopt a posthumanistframework that ascribes agency to both human and non-human actors. Weinterpret authenticity as a relative, malleable concept and argue that thepartnership between Ai and folk music enriches each of these perspectives. Thispaper adds to the intensifying debate around the application, evaluation, ethics,and future of Ai-generated music.

Place, publisher, year, edition, pages
2021.
Keywords [en]
Authenticity, artificial intelligence, folk music
National Category
Other Social Sciences not elsewhere specified
Identifiers
URN: urn:nbn:se:kth:diva-326347OAI: oai:DiVA.org:kth-326347DiVA, id: diva2:1753802
Conference
2nd Conference on AI Music Creativity 2021
Funder
EU, Horizon 2020, 864189
Note

QC 20230503

Available from: 2023-04-28 Created: 2023-04-28 Last updated: 2025-05-05Bibliographically approved

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fulltext(446 kB)678 downloads
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Huang, RujingSturm, Bob

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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