Impact of artificial intelligence on creative industries: trends and prospects

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This study is based on the elements of the innovative methodology of post-institutional analysis including interdisciplinary synthesis, the core of which is the evolutionary-genetic concept of production factors and the model of the “development core” of economic systems, which involves overcoming the mono-aspect, dichotomy and dogmatism of many concepts of orthodox neo-institutionalism. The main idea of this study is to apply an interdisciplinary approach to study the impact of artificial intelligence on creative industries. The assessment of the current problems under study and the conceptual framework of the study was carried out on the basis of studying and rethinking the results of numerous works by European and Russian scientists, as well as the legislation of the Russian Federation. As a result of the study, it was found that AI and its technologies are now used and can be used in applications related to the creative industries. An overview of the current state of AI and its technologies was provided, as well as examples of applications for creative industries. The main categories of industries in which end-to-end AI technology is involved are highlighted: content creation, analysis of information, content enhancement and post-production workflows, information extraction and enhancement, and data compression. This study considers two main categories that characterize the economic activity of economic entities in detail: content creation and information analysis. The role of using AI for creative industries is determined, which can improve the process of using responsible innovation for sustainable business development in the period of digital transformation of society. Problems are identified and a forecast is made for the future potential of AI associated with the creative industries.

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Artificial intelligence, creative industries, machine learning, content creation, analysis of information, economic entities, technological modernization, digital transformation, innovative state development

Короткий адрес: https://sciup.org/149141693

IDR: 149141693   |   DOI: 10.15688/ek.jvolsu.2022.3.4

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