AI/ML in the sonic arts: Pitfalls and pathways

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dc.contributor.authorRoddy, Stephenen
dc.contributor.authorParmar, Robinen
dc.date.accessioned2024-12-05T11:42:29Z
dc.date.available2024-12-05T11:42:29Z
dc.date.issued2023-12-01en
dc.description.abstractThis commentary considers the application of Artificial Intelligence (AI) and Machine Learning (ML) technologies to music and the sonic arts. It critiques the classical computational theory of mind (CCTM), a doctrine deriving from functionalism, which codifies “mind” as a mathematical function symbolic representations from one dimension (mind) can be directly mapped onto another (world) in accordance with a given transfer function. Such a function is thought to be computable on either biological or mechanical hardware, thereby rendering the internal workings of thought irrelevant. This technocratic impulse has been used to sell AI & ML products as “magical” solutions, capable of ushering in Utopian futures. This viewpoint began with the foundation of computer science itself, as metaphors for computational processes were adopted without adequate grounding in the philosophy of mind. Computers were given attributes of human cognition as a teleological basis for investment in these technologies. Our current situaen
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRoddy, S. and Parmar, R. (2023) 'AI/ML in the sonic arts - Pitfalls and pathways', Resonance: The Journal of Sound and Culture, 4(4), pp. 399-408. https://doi.org/10.1525/res.2023.4.4.399en
dc.identifier.doihttps://doi.org/10.1525/res.2023.4.4.399en
dc.identifier.endpage408en
dc.identifier.issn2688-867Xen
dc.identifier.issued4en
dc.identifier.journaltitleResonance: The Journal of Sound and Cultureen
dc.identifier.startpage399en
dc.identifier.urihttps://hdl.handle.net/10468/16709
dc.identifier.volume4en
dc.language.isoenen
dc.publisherUniversity of California Pressen
dc.relation.ispartofResonance: The Journal of Sound and Cultureen
dc.rights© 2023, by The Regents of the University of California.en
dc.subjectAIen
dc.subjectArtificial Intelligenceen
dc.subjectMusicen
dc.subjectMachine learningen
dc.subjectMLen
dc.subjectDelia Beatrizen
dc.subjectMoisés Horta Valenzuelaen
dc.subjectMetaphoren
dc.titleAI/ML in the sonic arts: Pitfalls and pathwaysen
dc.typeArticle (peer-reviewed)en
oaire.citation.issue4en
oaire.citation.volume4en
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