The Practice of Using Generative Artificial Intelligence Systems in the Media Industry and Examples of Leading Georgian News Agencies: A Case Study of IPN, PT, and BMG

This research paper examines the development of the Georgian media industry concerning the modern world’s media trend of automated journalism, using news agencies as an example. The research topic of this paper is to explore the practice of generative artificial intelligence systems in the world media industry and, based on the above evaluation of these technologies in media production by leading Georgian news agencies. Since technological advancements have significantly altered media consumption by accelerating the speed of information dissemination, expanding the range of available channels, and enabling user-generated content, a lag in adopting these technologies could challenge the core mission of news agencies and influence their future development trajectory. The conducted research on the automation of news agencies gives a picture and identifies the problems that determine the extent of the use of Generative Artificial Intelligence in their activities, the basis of which, in turn, is the Georgian language models and/or the competence of media representatives. During the research, no specific competence problems were identified; however, it was discovered that a language barrier, particularly the low quality of Georgian language models, has resulted in the virtually nonexistent use of Generative Artificial Intelligence in the operations of news agencies.