What can we learn from artificial intelligence about video art? Research on the Vasulka Live Archive
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/00216208:11320/26:AM5SEMVC
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
What can we learn from artificial intelligence about video art? Research on the Vasulka Live Archive
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
What can we learn from artificial intelligence about video art? Research on the Vasulka Live Archive
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
60401 - Arts, Art history
Návaznosti výsledku
Projekt
<a href="/cs/project/GA24-10667S" target="_blank" >GA24-10667S: Lokální digitální umění a kultura jako předmět historiografického výzkumu</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Artnodes – e-journal on art, science and technology
ISSN
1695-5951
e-ISSN
1695-5951
Svazek periodika
36
Číslo periodika v rámci svazku
červen
Stát vydavatele periodika
ES - Španělské království
Počet stran výsledku
10
Strana od-do
1-10
Kód UT WoS článku
001519126700003
EID výsledku v databázi Scopus
2-s2.0-105009163628