On the Human Role in Generative Art: A Case Study of AI-driven Live Coding

Detalhes bibliográficos
Autor(a) principal: Pošćić, Antonio
Data de Publicação: 2020
Outros Autores: Kreković, Gordan
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://doi.org/10.34632/jsta.2020.9488
Resumo: The evolution of philosophical views on art is interwoven with trajectories of accelerating technological amelioration. In the emergence of generative algorithms there is a need for making sense of modern technologies that step in a realm previously reserved for humans – creativity. This paper aims to understand the role of the human in generative art by demystifying implications of black-box generative algorithms and their applications for artistic purposes. First, we shortly canvas the current state of practice and research in generative art, especially music. Then, we introduce Anastatica, a part performance, part installation built using data-driven generative live coding. Finally, we discuss implications of AI in art through a case study of Anastatica’s development and performance. We trace the path from algorithms to intelligence, applying musical and computer science theory to a practical case of generating a live coding musical performance, while focusing on aesthetic, compositional, conceptual, and phenomenological implications.
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spelling On the Human Role in Generative Art: A Case Study of AI-driven Live CodingThe evolution of philosophical views on art is interwoven with trajectories of accelerating technological amelioration. In the emergence of generative algorithms there is a need for making sense of modern technologies that step in a realm previously reserved for humans – creativity. This paper aims to understand the role of the human in generative art by demystifying implications of black-box generative algorithms and their applications for artistic purposes. First, we shortly canvas the current state of practice and research in generative art, especially music. Then, we introduce Anastatica, a part performance, part installation built using data-driven generative live coding. Finally, we discuss implications of AI in art through a case study of Anastatica’s development and performance. We trace the path from algorithms to intelligence, applying musical and computer science theory to a practical case of generating a live coding musical performance, while focusing on aesthetic, compositional, conceptual, and phenomenological implications.Universidade Católica Portuguesa2020-12-10T00:00:00Zinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.34632/jsta.2020.9488oai:ojs.revistas.ucp.pt:article/9488Journal of Science and Technology of the Arts; Vol 12 No 3 (2020): xCoAx 2020; 45-62Journal of Science and Technology of the Arts; v. 12 n. 3 (2020): xCoAx 2020; 45-622183-00881646-979810.34632/jsta.2020.12.3reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAPenghttps://revistas.ucp.pt/index.php/jsta/article/view/9488https://doi.org/10.34632/jsta.2020.9488https://revistas.ucp.pt/index.php/jsta/article/view/9488/9442Copyright (c) 2020 Antonio Pošćić, Gordan Krekovićhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPošćić, AntonioKreković, Gordan2022-09-22T16:19:27Zoai:ojs.revistas.ucp.pt:article/9488Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T10:19:30.668183Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv On the Human Role in Generative Art: A Case Study of AI-driven Live Coding
title On the Human Role in Generative Art: A Case Study of AI-driven Live Coding
spellingShingle On the Human Role in Generative Art: A Case Study of AI-driven Live Coding
Pošćić, Antonio
title_short On the Human Role in Generative Art: A Case Study of AI-driven Live Coding
title_full On the Human Role in Generative Art: A Case Study of AI-driven Live Coding
title_fullStr On the Human Role in Generative Art: A Case Study of AI-driven Live Coding
title_full_unstemmed On the Human Role in Generative Art: A Case Study of AI-driven Live Coding
title_sort On the Human Role in Generative Art: A Case Study of AI-driven Live Coding
author Pošćić, Antonio
author_facet Pošćić, Antonio
Kreković, Gordan
author_role author
author2 Kreković, Gordan
author2_role author
dc.contributor.author.fl_str_mv Pošćić, Antonio
Kreković, Gordan
description The evolution of philosophical views on art is interwoven with trajectories of accelerating technological amelioration. In the emergence of generative algorithms there is a need for making sense of modern technologies that step in a realm previously reserved for humans – creativity. This paper aims to understand the role of the human in generative art by demystifying implications of black-box generative algorithms and their applications for artistic purposes. First, we shortly canvas the current state of practice and research in generative art, especially music. Then, we introduce Anastatica, a part performance, part installation built using data-driven generative live coding. Finally, we discuss implications of AI in art through a case study of Anastatica’s development and performance. We trace the path from algorithms to intelligence, applying musical and computer science theory to a practical case of generating a live coding musical performance, while focusing on aesthetic, compositional, conceptual, and phenomenological implications.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-10T00:00:00Z
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dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.34632/jsta.2020.9488
oai:ojs.revistas.ucp.pt:article/9488
url https://doi.org/10.34632/jsta.2020.9488
identifier_str_mv oai:ojs.revistas.ucp.pt:article/9488
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ucp.pt/index.php/jsta/article/view/9488
https://doi.org/10.34632/jsta.2020.9488
https://revistas.ucp.pt/index.php/jsta/article/view/9488/9442
dc.rights.driver.fl_str_mv Copyright (c) 2020 Antonio Pošćić, Gordan Kreković
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Antonio Pošćić, Gordan Kreković
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Católica Portuguesa
publisher.none.fl_str_mv Universidade Católica Portuguesa
dc.source.none.fl_str_mv Journal of Science and Technology of the Arts; Vol 12 No 3 (2020): xCoAx 2020; 45-62
Journal of Science and Technology of the Arts; v. 12 n. 3 (2020): xCoAx 2020; 45-62
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1646-9798
10.34632/jsta.2020.12.3
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