Human-Artificial Intelligence (AI) Collaboration and Aesthetic Abstraction in Music: A Transdisciplinary Analysis of I AM AI (2018) and PROTO (2019)
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| Autor: | |
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| Stav: | Versión publicada |
| Datum vydání: | 2026 |
| Popis: | Introduction: This paper examines computer-generated art (CG-art) in the musical domain, diverging from the predominant focus of research on artificial intelligence (AI) generated images. Objective: To analyse two albums, I AM AI (2018) and PROTO (2019), produced with Artificial Intelligence (AI) under contrasting collaboration models. The former employs AI to generate instrumental stems complemented by human vocals, while the latter features AI-generated synthetic vocals layered over human-composed arrangements. Methods: Using a transdisciplinary framework (Cognitive Science, Art Theory and Computer Science), this article assesses the status, the human-machine aesthetic evaluation, the AI’s creative potential, and the inorganic abstraction in the creative process of Taryn Southern’s I AM AI and Holly Herndon’s PROTO. Results: Both albums integrate AI significantly; however, neither qualifies as AI-generated artworks. The Recurrent Neural Networks (RNNs) used lack creative autonomy, functioning solely as instrumental tools without intrinsic algorithmic self-evaluation. Conclusions: These long-play records (LPs) are collaborative creations where AI serves as a tool with passive and hybrid aesthetic capabilities. Ultimately, the aesthetic realization of these works relies on human emotional projection, contrasting with the non-emotional and inorganic abstraction characteristic of the algorithms involved. |
| Země: | Portal de Revistas UCR |
| Instituce: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Jazyk: | Inglés |
| OAI Identifier: | oai:portal.revistas.ucr.ac.cr:article/13279 |
| On-line přístup: | https://revistas.ucr.ac.cr/index.php/rescena/article/view/13279 |
| Klíčové slovo: | aesthetic evaluation neural networks inorganic creativity creative autonomy human-machine interaction evaluación estética redes neuronales creatividad inorgánica autonomía creativa interacción humano-máquina |