ROLE OF MACHINE LEARNING IN SHAPING CONTEMPORARY MUSICAL CULTURE
Dmytro SHALAMOV · Часопис Національної музичної академії України ім П І Чайковського · 2024
This investigation meticulously explores the applications of generative artificial intelligence (AI) systems, predicated on machine learning paradigms, within the domain of musical culture. The capabilities of these systems are critically analyzed in relation to the professional cultural and artistic practices of composers, directors, producers, and performers. The foundational conditions requisite for the evolution of artificial intelligence in the context of musical culture have been delineated. The study endeavors to provide a comprehensive cultural assessment regarding the prospective impact of machine learning-driven generative AI systems on the aesthetic dimensions of Ukrainian musical culture. It delves into the operational principles governing contemporary systems for the generation of musical content through machine learning methodologies. Furthermore, the research examines the preconditions that facilitated the emergence and establishment of generative AI systems, as exemplified by musical compositions authored by Ukrainian creators utilizing automated computational frameworks. This inquiry underscores the intricate relationship between the progression of generative AI systems and the cultivation of favorable conditions for the professional endeavors of artists. An extensive analysis of both domestic and international academic literature in the field of artificial intelligence has been undertaken. Essential definitions pertaining to artificial intelligence, deep neural networks, machine learning, tokens, databases, rational agents, and digital audio recordings are elucidated within a cultural framework. Additionally, a succinct overview of big data theory is presented as a cultural prerequisite for the emergence and evolution of generative AI systems in contemporary musical culture. The potential hazards associated with the unchecked self-learning mechanisms of AI systems along with their prospective deleterious effects on musical culture are accentuated. This study posits the hypothesis that a causal nexus exists between the functioning of AI systems and the dissemination of misinformation. It highlights the imperative for further cultural inquiries into the application of machine learning methodologies within generative AI systems for the fabrication of musical content.