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.

中文翻译：

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洛特曼的人工智能时代文化符号学：分析人工智能生成的视频艺术在符号圈中的文化动态

由于难以提供连贯的描述工具来描述其文化意义，因此使用以面部为中心的人工智能生成视频引起了专业人士和观众的各种担忧。与此同时，艺术家及其观众的焦点从作为文本的艺术转向人工智能（AI）与相关社会参与者之间的协作过程。这引起了政策制定者和其他社会参与者的极大关注，他们正在寻找适当使用人工智能作为创意工作者的工具、合作者或替代品的指导方针，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估艺术文本及其在符号空间（符号圈）中的作用提供了描述性工具。本文探讨了洛特曼的理论如何为将人工智能生成的文本作为动态模型进行分析的方法做出贡献。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当前与人工智能生成艺术相关的转变的研究。本文着眼于人工智能生成的视频的接收情况，重点关注面部表征。在此过程中，它通过相关文本中的接收来分析人工智能生成视频的创作过程中的动态过程。本文的研究结果强调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论。