The Zombification of art history: how AI resurrects dead masters, and perpetuates historical biases

Autor:	Tsila Hassine, Ziv Neeman
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	Artificial intelligence Art Deep learning neural networks Generative art Deep art Rembrandt Fine Arts Arts in general NX1-820
Zdroj:	Journal of Science and Technology of the Arts, Vol 11, Iss 2 (2019)
Druh dokumentu:	article
ISSN:	1646-9798 2183-0088
DOI:	10.7559/citarj.v11i2.663
Popis:	In the past few years deep-learning AI neural networks have achieved major milestones in artistic image analysis and generation, producing what some refer to as ‘art.’ We reflect critically on some of the artistic shortcomings of a few projects that occupied the spotlight in recent years. We introduce the term ‘Zombie Art’ to describe the generation of new images of dead masters, as well as ‘The AI Reproducibility Test.’ We designate the problems inherent in AI and in its application to art history. In conclusion, we propose new directions for both AI-generated art and art history, in the light of these new powerful AI technologies of artistic image analysis and generation.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/61c06fbd328848e680ef3578d25514e3 Zobrazit plný text záznamu View record in DOAJ