Publicação
A∴418: A Prelude of artificial intelligence in music
| datacite.subject.fos | Ciências Sociais::Ciências da Educação | |
| datacite.subject.sdg | 04:Educação de Qualidade | |
| dc.contributor.author | Alves, Vasco | |
| dc.date.accessioned | 2026-04-09T15:14:28Z | |
| dc.date.available | 2026-04-09T15:14:28Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Artificial intelligence (AI) has become an undeniable reality, offering both unprecedented opportunities and significant challenges in the domains of music creation, performance, teaching, and learning. This presentation explores the method of systematizing interpretative musical conception, A∴418, as a theoretical precursor to the development of AI-driven tools designed to serve music. This theoretical framework seeks to objectively elucidate the mechanisms through which musicians interpret musical repertoire, bridging the gap between the subjective dimension of expressive intent and the objective technical execution of a performance—from conceptualization to the realization of sonic results. These principles could inform the development of AI applications capable of assisting musicians in refining their interpretative approaches by providing tailored feedback and support throughout the technical-expressive improvement process. The design of an AI algorithm based on this method would enable the systematic mapping of extensive datasets related to musical performance. By means of an interface capable of parameterizing the physical dynamics and biochemical processes inherent in the interaction between performer and instrument, such a system could facilitate real-time analysis and adaptation. The implementation of this technology on computational platforms or mobile devices would ensure accessibility for a wide range of users. This study argues that the theoretical premises underpinning the A∴418 method provide a foundation for the development of technological tools that may enhance our understanding of performance-related phenomena while offering precise methodologies for advancing interpretative practices in music. Finally, the ethical implications of such technological advancements in a fundamentally creative field will be critically examined. | eng |
| dc.description.sponsorship | This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05777/2020 (https://doi.org/10.54499/UIDB/05777/2020). | |
| dc.identifier.citation | Alves, Vasco (2025). A∴418: A Prelude of artificial intelligence in music. In 16th International Conference on Artistic Research. Porto | |
| dc.identifier.uri | http://hdl.handle.net/10198/36477 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Universidade do Porto | |
| dc.relation | Research Center in Basic Education | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Music creation | |
| dc.title | A∴418: A Prelude of artificial intelligence in music | eng |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UIDB/05777/2020 | |
| oaire.awardTitle | Research Center in Basic Education | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05777%2F2020/PT | |
| oaire.citation.conferenceDate | 2025 | |
| oaire.citation.conferencePlace | Porto | |
| oaire.citation.endPage | 2 | |
| oaire.citation.startPage | 1 | |
| oaire.citation.title | 16th International Conference on Artistic Research | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Alves | |
| person.givenName | Vasco | |
| person.identifier.ciencia-id | BD1A-0C0D-408E | |
| person.identifier.orcid | 0000-0002-3877-1113 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
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