What can we learn from artificial intelligence about video art?
Research on the  Vasulka  Live	Archive

J 2025

What can we learn from artificial intelligence about video art? Research on the Vasulka Live Archive

HORÁKOVÁ, Jana

Základní údaje

Originální název

What can we learn from artificial intelligence about video art? Research on the Vasulka Live Archive

Autoři

HORÁKOVÁ, Jana

Vydání

Artnodes – e-journal on art, science and technology, Barcelona, Universitat Oberta de Catalunya, 2025, 1695-5951

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

60401 Arts, Art history

Stát vydavatele

Španělsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 0.400 v roce 2024

Organizační jednotka

Filozofická fakulta

DOI

https://doi.org/10.7238/artnodes.v0i36.430699

UT WoS

999

Klíčová slova anglicky

artificial intelligence; digital humanities; design-thinking; video art theory; experimental verification; meta-analysis

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 12. 1. 2026 11:08, Mgr. Jiří Čevela

Anotace

V originále

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.

Návaznosti

GA24-10667S, projekt VaV

Název: Lokální digitální umění a kultura jako předmět historiografického výzkumu

Investor: Grantová agentura ČR, Lokální digitální umění a kultura jako předmět historiografického výzkumu

Citovat

HORÁKOVÁ, Jana. What can we learn from artificial intelligence about video art? Research on the Vasulka Live Archive. Artnodes – e-journal on art, science and technology. Barcelona: Universitat Oberta de Catalunya, 2025, roč. 36, červen 2025, s. 1-10. ISSN 1695-5951. Dostupné z: https://doi.org/10.7238/artnodes.v0i36.430699.

@article{2505111,
   author = {Horáková, Jana},
   article_location = {Barcelona},
   article_number = {červen 2025},
   doi = {https://doi.org/10.7238/artnodes.v0i36.430699},
   keywords = {artificial intelligence; digital humanities; design-thinking; video art theory; experimental verification; meta-analysis},
   language = {eng},
   issn = {1695-5951},
   journal = {Artnodes – e-journal on art, science and technology},
   title = {What can we learn from artificial intelligence about video art? Research on the Vasulka Live Archive},
   url = {https://raco.cat/index.php/Artnodes/article/view/430699},
   volume = {36},
   year = {2025}
}

TY  - JOUR
ID  - 2505111
AU  - Horáková, Jana
PY  - 2025
TI  - What can we learn from artificial intelligence about video art? Research on the Vasulka Live Archive
JF  - Artnodes – e-journal on art, science and technology
VL  - 36
IS  - červen 2025
SP  - 1-10
EP  - 1-10
PB  - Universitat Oberta de Catalunya
SN  - 16955951
KW  - artificial intelligence
KW  - digital humanities
KW  - design-thinking
KW  - video art theory
KW  - experimental verification
KW  - meta-analysis
UR  - https://raco.cat/index.php/Artnodes/article/view/430699
N2  - 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.
ER  -

HORÁKOVÁ, Jana. What can we learn from artificial intelligence about video art? Research on the Vasulka Live Archive. \textit{Artnodes – e-journal on art, science and technology}. Barcelona: Universitat Oberta de Catalunya, 2025, roč.~36, červen 2025, s.~1-10. ISSN~1695-5951. Dostupné z: https://doi.org/10.7238/artnodes.v0i36.430699.

Přehled o publikaci