Lotman's semiotics of culture in the age of AI
Analyzing the cultural dynamics of AI-generated video art in the semiosphere
Bibliographic Data
| ID | 4474596 |
|---|---|
| Authors | Daria Arkhipova (0000-0003-2776-0918, University of Turin , Torino , Italy, corresponding author), Auli Viidalepp (0000-0002-6206-5681, University of Tartu , Tartu , Estonia) |
| Year | 2023 |
| Volume | 2023 |
| Issue | 255 |
| Pages | 149-160 |
| Publication date | 2023-11-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Semiotica (JOURNAL) |
| Journal identifiers | ISSN: 0037-1998 • E-ISSN: 1613-3692 |
| Publisher | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.1515/sem-2023-0167 |
| OpenAlex | W4388488339 |
| Language | EN |
| Citations received | 3 |
| References cited | 8 |
The use of AI-generated videos centered on the face raises various concerns among professionals and audiences due to the difficulty of providing coherent descriptive tools of their cultural significance. At the same time, the focus of artists and their audiences shifts from the art as a text to the collaboration process between artificial intelligence (AI) and the involved social actors. This raises significant concerns between policymakers and other social actors looking for guidelines for the appropriate use of AI as a tool, collaborator or substitute for creative workers, which can have immediate and long-term impacts on society and culture. Semiotics of culture provides descriptive tools for understanding and evaluating artistic texts and their role in semiotic space, the semiosphere. This article addresses how Lotman's theory can contribute to the methodology for analyzing AI-generated texts as dynamic models. The theoretical framework developed by Lotman in his research on artistic text, dynamic systems and culture can be applied to the studies of current shifts related to AI-generated arts. This paper looks at the reception of AI-generated videos focused on face representations. In doing so, it analyses the dynamic processes in the creation process of AI-generated videos through their reception in related texts. The findings of this article highlight how Lotman's theoretical framework can contribute to the methodology to analyze the cultural dynamics evoked by AI-generated artistic texts
Aesthetics · Art · Dynamics (music) · Epistemology · Face (sociological concept) · Focus (optics) · Process (computing) · Semiotics · Semiotics of culture · Social science · Social semiotics · Sociology · The arts · Visual arts · Aesthetic Perception and Analysis · Computational and Text Analysis Methods · Computer Science · Law in Society and Culture · Philosophy · Psychology
| Citations per year | 1.5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |