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Investigating the possibility of bias against AI-computercomposed music
University of Skövde, School of Informatics.
University of Skövde, School of Informatics.
2021 (English)Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This study explores how respondents perceive human-composed music and AI-computer-composed music. The aim was to find out if there is a negative bias against AI-computer-composed music. The research questions are 1. How is AI-computer-composed music perceived compared to human-composed music? 2. Are there prejudices towards AI-computer-composed music? If yes, what are the prejudices? Four participants took part in a qualitative experiment and a semi-structured interview. Two music pieces were used as artifacts, one was human-composed, and the AI-computer AIVA composed the other. The results showed that although the researchers have not revealed to the participants if they had chosen the AI-computer-composed song or the human-composed song as their favorite, all the participants strongly believed that their favorite song was human-composed. Thus, indicating a bias towards human-composed music The results also showed that the two music pieces were not perceived to have the same characteristics or evoke the same emotions; furthermore, there was some skepticism, whether an AI-computer-composed song could recall the same emotions as a human-composed song. However, none of the respondents explicitly expressed negativity towards AI-computer-composed music.

Place, publisher, year, edition, pages
2021. , p. 37
Keywords [en]
Music, AI, AI-computer, bias, human-composed, computer-composed
National Category
Information Systems Computer Engineering
Identifiers
URN: urn:nbn:se:his:diva-19963OAI: oai:DiVA.org:his-19963DiVA, id: diva2:1572294
Subject / course
Media, Aesthetics and Narration
Educational program
Computer Game Development - Sound/Music
Supervisors
Examiners
Available from: 2021-06-23 Created: 2021-06-23 Last updated: 2021-06-23Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
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More styles
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  • de-DE
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  • Other locale
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Output format
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