Document type
Journal articles
Document subtype
Full paper
Title
Music Recommender Systems: A (Data) Science of Music Aesthetics?
Participants in the publication
Vinicius de Aguiar (Author)
Dep. História e Filosofia das Ciências
CFCUL
Summary
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(s)
Alexander Gerner, Renata Souza, Vinicius de Aguiar
Date of Publication
2023-12
Institution
CFCUL-Centro de Filosofia das Ciências da Universidade de Lisboa
Where published
Semeiosis - transdisciplinary journal of semiotics
Publication Identifiers
ISSN - 2178-5368
Address
São Paulo, Brasil
Organizers
Alexander Gerner, Renata Souza, Vinicius de Aguiar
Publisher
Sabia Publisher
Collection
Special Issue: AI Aesthetics
Number of pages
17
Starting page
31
Last page
47
Document Identifiers
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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