This paper aims to contribute to the ongoing discourse concerning the involvement of Artificial Intelligence (AI) in the realm of music production. Previous scholarly inquiries have consistently highlighted the prevalence of biases and concerns in AI-mediated creative processes, particularly among technicians, experts, and creators (Deguernel & Sturm, 2023). However, studies demonstrate that in certain instances of blind listening evaluations, individuals exhibit a reduced predisposition toward prejudice, demonstrating genuine interest in and approval of creative musical outputs generated through AI-mediated processes (Blitstein, 2010).
We will present the primary findings of an empirical study grounded in a tripartite experimental framework. Each of the three groups was assigned the task of evaluating musical productions, with one originating from human creativity and the other stemming from AI-based generative processes. The first group possessed accurate information regarding the respective authors of the musical compositions, while the second group was deliberately provided with misleading information, and the third group was deliberately kept uninformed about the authorship of the tracks evaluated. The sample comprised a total of 30 participants, equally divided between two distinct categories: 15 individuals classified as experts in the field of music production and 15 individuals characterized as amateurs. The results confirm the existence of strong prejudice in the perception of the listeners, particularly when they can be classified as experts.

Authors:
Alessandra Micalizzi, Pegaso University, Italy

About the Presenter(s)
Associate Professor in Sociology, Communication and Culture at Pegaso University and Lecturer at SAE Institute. She is a psychologist, sociologist and PhD in Communication and New Technologies. She leads the Center of Research in Digital Humanities

Connect on Linkedin
https://www.linkedin.com/in/alessandramicalizzi/

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