Appel de conférences pour le colloque international « Philosophy of Artificial Music. Algorithms, Machine Learning, Data », Nantes Université, 3-5 novembre 2026.
« Recent developments in generative artificial intelligence and its massive arrival in the musical world have revived longstanding philosophical debates and produced new ones. While one can now generate a piece of music in a few seconds using tools such as Suno, the use of algorithms to generate music—whether paper-and-pencil algorithms or computer programs—has a longer history and runs through part of the musical tradition: from eighteenth-century musical dice games (Musikalisches Würfelspiel) to deep neural networks, via stochastic models (e.g. Xenakis), generative grammars, or Markov chains, which are still used in current systems for artificial improvisation (e.g. Somax2). All these examples may be understood as belonging to the category of artificial music, that is, music in which a non-trivial part of the creative process is delegated to a technical object—understood broadly as covering algorithms, mathematical models, and analog or digital machines—capable of functioning with some degree of autonomy and thereby escaping, at least in part, the control of a human creator.
The tradition of algorithmic music, which aims to design explicit and interpretable algorithms for generating music, has long been the primary provider of artificial music. But the rise of machine learning changes the game by making it possible to employ implicit but opaque algorithms—trained on datasets but whose details, by design, elude direct human understanding. It is this new tension that we aim to explore in this international conference. What changes does machine learning, and especially deep learning, bring to the ways in which musicians, listeners, and philosophers create, appreciate, and think about music? ».
Date limite de soumission : 1er mai 2026.
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