BIBLIOS

Tipo
Artigos em Revista

Tipo de Documento
Artigo Completo

Título
Music Recommender Systems: A (Data) Science of Music Aesthetics?

Participantes na publicação
Vinicius de Aguiar (Author)
Dep. História e Filosofia das Ciências
CFCUL

Resumo
This paper investigates to which extent and in which ways data sciences and Arti cial Intelligence (AI), more speci cally recommender systems, are transforming music aesthetics. The interplays between music and AI are not new in history. But while historically, from Athanasius Kircher to Magenta, the focus has been the automatization of creativity, I argue that a new horizon of interplays between music aesthetics and AI has emerged with the massive popularization of streaming platforms powered by recommender systems. I show how the task of music recommendation powered by AI is transforming music aesthetics in three dimensions: epistemological, normative, and phenomenological semiotic.

Editor
Alexander Gerner, Renata Souza, Vinicius de Aguiar


Instituição
CFCUL-Centro de Filosofia das Ciências da Universidade de Lisboa

Suporte
Semeiosis - transdisciplinary journal of semiotics

Identificadores da Publicação
ISSN - 2178-5368

Local
São Paulo, Brasil

Organizadores
Alexander Gerner, Renata Souza, Vinicius de Aguiar

Editora
Sabia Publisher

Coleção
Special Issue: AI Aesthetics



Identificadores do Documento
DOI - https://doi.org/10.53987/2178-5368-2023-12-02
URL - http://dx.doi.org/10.53987/2178-5368-2023-12-02

Keywords
music streaming music aesthetics listening interpretant semeiosis AI aesthetics

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