What can we learn from artificial intelligence about video art? Research on the Vasulka Live Archive
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F25%3A00144356" target="_blank" >RIV/00216224:14210/25:00144356 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/26:AM5SEMVC
Result on the web
<a href="https://raco.cat/index.php/Artnodes/article/view/430699" target="_blank" >https://raco.cat/index.php/Artnodes/article/view/430699</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7238/artnodes.v0i36.430699" target="_blank" >10.7238/artnodes.v0i36.430699</a>
Alternative languages
Result language
angličtina
Original language name
What can we learn from artificial intelligence about video art? Research on the Vasulka Live Archive
Original language description
The paper introduces the conceptual and methodological background, as well as the results, of applying a specially trained AI tool for video art analysis, available at Vasulka Live Archive.net (Horák-ová, Schimmel, Sikora, Miklánek & Barok, 2021). It does not delve into the technical aspects of the intelligent software. Instead, it focuses on: a) the conceptual framework and methodology in which the project is situated (digital humanities), to uncover and justify the decisions that led to the design of the AI tool; and b) provides a report on the AI tool's application in a service of data-based verification of generally accepted video art definitions by Peter Weibel and Rosalind Krauss. A digital archive of the Vasulkas' videos, considered a classic example of video art, served as the research sample in this experiment. The application of the AI tool in a service of video art analysis is based on the assumption that if the AI tool is thought to be able to identify certain formal qualities and the leitmotifs across a video art archive, then it can be used for experimental, quantitative verification of theoretical statements about video as well. Thus, the results of applying the AI tool described in the paper provide a unique, quantitative meta-analysis of video art discourse.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
60401 - Arts, Art history
Result continuities
Project
<a href="/en/project/GA24-10667S" target="_blank" >GA24-10667S: Local digital art and culture as a subject of historiographical research</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Artnodes – e-journal on art, science and technology
ISSN
1695-5951
e-ISSN
1695-5951
Volume of the periodical
36
Issue of the periodical within the volume
červen
Country of publishing house
ES - SPAIN
Number of pages
10
Pages from-to
1-10
UT code for WoS article
001519126700003
EID of the result in the Scopus database
2-s2.0-105009163628