{"title":"The Zombification of Art History","authors":"Tsila Hassine, Z. Neeman","doi":"10.7559/citarj.v11i2.663","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":41151,"journal":{"name":"Journal of Science and Technology of the Arts","volume":"11 1","pages":"28-35"},"PeriodicalIF":0.2000,"publicationDate":"2019-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Science and Technology of the Arts","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7559/citarj.v11i2.663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"HUMANITIES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 3
Abstract
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.
期刊介绍:
The Journal of Science and Technology of the Arts (CITARJ) covers a wide range of topics related to the study and practice of Artistic work approached through Science and Technology, including: -Aesthetics of New Media- Audiovisual and Cinematic Art- Computer Music- Digital Arts - Digital Culture- Generative Art/Systems- Interactive Art - Interactive Multimedia- Interactive Sound- New Interfaces for Digital Expression- New Media Art- Tangible interfaces.