On the Human Role in Generative Art: A Case Study of AI-driven Live Coding
| Autor: | Pošćić, Antonio, Kreković, Gordan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Journal of Science and Technology of the Arts, Vol 12, Iss 3 (2020) 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 Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| ISSN: | 2183-0088 1646-9798 |
| DOI: | 10.34632/jsta.2020.12.3 |
| Popis: | 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. Journal of Science and Technology of the Arts, v. 12 n. 3 (2020): xCoAx 2020 |
| Databáze: | OpenAIRE |
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