Pregled bibliografske jedinice broj: 1127318
On the Human Role in Generative Art: A Case Study of AI-driven Live Coding
On the Human Role in Generative Art: A Case Study of AI-driven Live Coding // Journal of Science and Technology of the Arts, 12 (2020), 3; 45-62 doi:10.34632/jsta.2020.9488 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1127318 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
On the Human Role in Generative Art: A Case Study
of AI-driven Live Coding
Autori
Pošćić, Antonio ; Kreković, Gordan
Izvornik
Journal of Science and Technology of the Arts (1646-9798) 12
(2020), 3;
45-62
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Artificial intelligence ; Generative art ; Live coding ; Generative music ; Computer art
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Glazbena umjetnost
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus