The problem of bias in the evaluation of pop culture works created with artificial intelligence. A comparative analysis of the Eurovision Song Contest and AI Song Contest (2020-2022)
DOI:
https://doi.org/10.51480/compress.2023.6-1.532Keywords:
artificial intelligence, AI Song Contest, Eurovision Song Contest, bias, televoting, online votingAbstract
The author of this article examines ways to minimize bias in the evaluation of songs created using artificial intelligence using the AI Song Contest as an example. She compares the voting procedures between the AI Song Contest and the Eurovision Song Contest and formulates a hypothesis that both contests have similar voting mechanisms and introduce mechanisms to reduce bias. However, the solutions used by AI Song Contest organizers seeking to reduce the impact of bias on the voting outcome are more effective. This is due to the use of more advanced technological barriers. The study was conducted using process tracing and qualitative content analysis methods and covered the first three editions of the AI Song Contest from 2020 to 2022. The research process asked the following research questions: 1) What similarities, in terms of organizing the winner selection procedure, and what differences exist between the AI Song Contest and the Eurovision Song Contest? 2) How do the organizers of the AI Song Contest seek to reduce the impact of biased behavior in the voting procedure? Based on these questions, a research process was conducted that positively verified the hypothesis. Comparative research provides insights into how to increase impartiality in the evaluation of musical works, through the use of technological solutions.
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