Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
The use of Artificial Intelligence (AI)in Musicis 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.
Recommended Citation
Laksana Iskandar, Kevin; Spil, Ton; and Bukhsh, Faiza, "AI and Music, How Do Listeners and Artists Perceive It? An Empirical Study toward the Attitude of Humans to AI Music" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 5.
https://aisel.aisnet.org/hicss-58/in/diffusion_of_ict/5
AI and Music, How Do Listeners and Artists Perceive It? An Empirical Study toward the Attitude of Humans to AI Music
Hilton Waikoloa Village, Hawaii
The use of Artificial Intelligence (AI)in Musicis 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.
https://aisel.aisnet.org/hicss-58/in/diffusion_of_ict/5