AI and Music: How do listeners and artists perceive it? An Empirical Study toward the Attitude of Humans to AI Music

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Abstract

The use of Artificial Intelligence (AI)in Music is not always accepted by humans. This study aims to investigate how the perception of individuals towards artificial intelligence may influence the evaluation of AI performers and AI musicians. By using a systematic literature review, five concepts were identified: anthropomorphism, capabilities, fear, prejudice, bias, and acceptability. A scale measuring the human perception of AI musicians and performers (PREAMP) was developed based on the study. Furthermore, a quantitative study was performed, generating a total of 122 respondents to investigate the relationship even further. The findings indicate a positive correlation between how AI music is evaluated and one's perception of AI musicians and performers while also showing that the overall quality of AI music is inferior to that of human music.

Original languageEnglish
Title of host publicationProceedings of the 58th Hawaii International Conference on System Sciences, HICSS 2025
EditorsTung X. Bui
PublisherIEEE
Pages4086-4095
Number of pages10
ISBN (Electronic)9780998133188
Publication statusPublished - 2025
Event58th Hawaii International Conference on System Sciences, HICSS 2025 - Waikoloa, United States
Duration: 7 Jan 202510 Jan 2025
Conference number: 58

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Conference

Conference58th Hawaii International Conference on System Sciences, HICSS 2025
Abbreviated titleHICSS 2025
Country/TerritoryUnited States
CityWaikoloa
Period7/01/2510/01/25

Keywords

  • AI
  • Artificial Intelligence
  • Bias
  • Music
  • Perception

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