Co se můžeme dozvědět o (video) umění od umělé inteligence? Případ VasulkaLiveArchive.net
| Title in English | What can we learn about (video) art from artificial intelligence? The case of VasulkaLiveArchive.net |
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| Authors | |
| Year of publication | 2024 |
| Type | Appeared in Conference without Proceedings |
| MU Faculty or unit | |
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| Description | In the presentation, I will look for an answer to the question of what new or innovative things artificial intelligence could bring to the study of arts. I will do so with reference to the experience with the applied-research project VasulkaLiveArchive focused on the processing of the archive of artistic videos of Steina and Woody Vašulka using machine learning (VasulkaLiveArchive.net). I will argue in favor of the claim that AI can, under certain circumstances, serve as an effective epistemological tool for the study of video art and art in general. The use of AI in art history will be placed in the context of digital humanities, specifically in a subset of projects aimed at revitalizing archives through computing. The methodological and conceptual starting points of the project will be discussed, and the design of the web interface/epistemological tool will be described in terms of user benefits. Two examples will serve to illustrate how AI outputs can be integrated into research work. In conclusion, I will try to defend the thesis that analytical artificial intelligence can contribute to the clarification and deepening of the knowledge of theoreticians and art historians by increasing the accuracy of research outputs, thus they will be able to rely on extracted data and information and to use experimental research methods based on a combination of digital (digitized) archive and machine learning. Based on my own experience, I am convinced that AI can expand or innovate research methods (and therefore knowledge) in art history both for the benefit of the field itself and within the art world's communication with the wider public. |