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Investigating the relationship between liking and belief in AI authorship in the context of Irish traditional music
University of Lille.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-2549-6367
Queen Mary University of London.
2022 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Past work has investigated the degree to which human listeners may be prejudiced against music knowing that it was created by artificial intelligence (AI). While these studies did not find a statistically significant relationship, the listening experiments were performed with music genres such as contemporary classical music or free jazz which are fairly welcoming of technology. In this work, we explore this prejudice in a context where strong opinions on authenticity and technology are typical: Irish traditional music (ITM). We conduct a listening experiment with practitioners of ITM asking each subject to first listen to a human performance of music generated by a computer in the style of ITM (this provenance is unknown to the listener), and then rate how much they like the piece. After rating all six pieces, each subject listens to each again but rates how likely they believe it is composed by a computer. The results of our pilot study suggest ITM practitioners tend to rate belief in AI authorship lower the more they rate liking a tune. 

Place, publisher, year, edition, pages
2022.
National Category
Other Social Sciences not elsewhere specified
Identifiers
URN: urn:nbn:se:kth:diva-326349Scopus ID: 2-s2.0-85142849561OAI: oai:DiVA.org:kth-326349DiVA, id: diva2:1753805
Conference
Workshop on Artificial Intelligence and Creativity
Funder
EU, Horizon 2020, 864189
Note

QC 20230502

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

Open Access in DiVA

fulltext(1613 kB)112 downloads
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Sturm, 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