On the issue of domestic scientific reflection regarding the use of AI in cinema

Cinema is one of the areas of human activity where artificial intelligence (AI) is actively being integrated as a means that replaces individual processes, primarily in film production. However, this technology not only optimizes production processes but also, depending on the nature of the roles utilized, which are conditioned by the creation of the content of a cinematic work (script, visual and sound components), influences and transforms the very activity of the main creative subjects of film production. What is happening requires a full research reflection for a complete understanding of the nature and dynamics of the transformation of cinematic activity, not to mention some predictive conclusions. The question arises: to what extent is film studies ready to fully realize such a fixation, and what is its current state? This paper aims to study the existing relevant scientific reflection by domestic authors regarding the use of artificial intelligence in cinema. The methodological basis of this research is a systematic review of scientific publications with elements of content analysis. The selection was made among scientific publications in Russian in the eLibrary database using keywords. At the filtering stage, the remaining works and publications were consolidated in a table for subsequent analysis. The obtained results will allow us to determine the nature and quality of this research reflection, which can then be used to understand possible ways to optimize it. The continuous development of artificial intelligence (AI) technological products has a significant impact on the film production industry. Over the past decades, artificial intelligence technologies have evolved from tools designed to solve and automate narrow technical processes to the creation of multifunctional systems capable of acting as co-authors. The increasing number of precedents involving the symbiosis of AI and human work in film production highlights the relevance of the topic. In the reality of 2025, we have the right to start a conversation about film production that is fully built on the creation of prompts for models and their subsequent implementation.

film production, movie production, cinematic process, film studies, artificial intelligence, neural networks, digital cinema, generative art, media industry, machine learning