Lotman’s semiotics of culture in the age of AI: analyzing the cultural dynamics of AI-generated video art in the semiosphere

IF 0.9 3区 社会学 0 HUMANITIES, MULTIDISCIPLINARY
Semiotica Pub Date : 2023-11-09 DOI:10.1515/sem-2023-0167
Daria Arkhipova, Auli Viidalepp
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引用次数: 0

Abstract

Abstract 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.
人工智能时代洛特曼的文化符号学:在符号界分析人工智能视频艺术的文化动态
由于难以提供连贯的描述其文化意义的工具,以面部为中心的人工智能生成视频的使用引起了专业人士和观众的各种担忧。与此同时,艺术家和观众的关注点也从作为文本的艺术转向了人工智能(AI)与相关社会行动者之间的协作过程。这引起了政策制定者和其他社会行为者的重大关注,他们正在寻找适当使用人工智能作为工具、合作者或创造性工作者替代品的指导方针,这可能对社会和文化产生直接和长期的影响。文化符号学为理解和评价艺术文本及其在符号学空间(符号圈)中的作用提供了描述性工具。本文讨论了Lotman的理论如何有助于将人工智能生成的文本作为动态模型进行分析。洛特曼在艺术文本、动态系统和文化研究中建立的理论框架可以应用于与人工智能生成的艺术相关的当前转变的研究。本文着眼于以人脸表征为重点的人工智能生成视频的接收。在此过程中,通过人工智能生成的视频在相关文本中的接受来分析其创作过程中的动态过程。本文的发现突出了洛特曼的理论框架如何有助于分析人工智能生成的艺术文本所引发的文化动态的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Semiotica
Semiotica Multiple-
CiteScore
1.30
自引率
37.50%
发文量
65
期刊介绍: Semiotica, the Journal of the International Association for Semiotic Studies, founded in 1969, appears in five volumes of four issues per year, in two languages (English and French), and occasionally in German. Semiotica features articles reporting results of research in all branches of semiotic studies, in-depth reviews of selected current literature in this field, and occasional guest editorials and reports. From time to time, Special Issues, devoted to topics of particular interest, are assembled by Guest Editors. The publishers of Semiotica offer an annual prize, the Mouton d"Or, to the author of the best article each year. The article is selected by an independent international jury.
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