AI composer bias: Listeners like music less when they think it was composed by an AI.

The use of artificial intelligence (AI) to compose music is becoming mainstream. Yet, there is a concern that listeners may have biases against AIs. Here, we test the hypothesis that listeners will like music less if they think it was composed by an AI. In Study 1, participants listened to excerpts of electronic and classical music and rated how much they liked the excerpts and whether they thought they were composed by an AI or human. Participants were more likely to attribute an AI composer to electronic music and liked music less that they thought was composed by an AI. In Study 2, we directly manipulated composer identity by telling participants that the music they heard (electronic music) was composed by an AI or by a human, yet we found no effect of composer identity on liking. We hypothesized that this was due to the "AI-sounding" nature of electronic music. Therefore, in Study 3, we used a set of "human-sounding" classical music excerpts. Here, participants liked the music less when it was purportedly composed by an AI. We conclude with implications of the AI composer bias for understanding perception of AIs in arts and aesthetic processing theories more broadly. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The famous melodies stimulus set.

Famous musical melodies, such as "Row, Row, Row Your Boat" and "Hot Cross Buns," are frequently used in psychological research. Such melodies have been used to assess the degree of cognitive impairments in various neurological disorders, and to investigate differences between "naming" vs. "knowing." Despite their utility as an experimental stimulus, there is currently no standardized, openly available set of famous musical melodies based on a United States population, as prior work on the topic has primarily relied on creating stimuli in an ad hoc manner. Therefore, the goal of the present work was to create a set of famous musical melodies. Here, we describe the development of the Famous Melodies Stimulus Set, a set of 107 melodies. We provide normative data for the melodies on five dimensions: familiarity, age of acquisition, emotional valence, emotional arousal, and naming ability. Participants (N = 397) rated the melodies on these five variables, validating that most melodies were highly familiar and reliably named. While familiarity ratings were skewed, all other rating scales covered a relatively broad range, allowing for researchers to select melodies for future work based on particular attributes.