RUDN Journal of Studies in Literature and Journalism (Dec 2023)

Transforming the future: a review of artificial intelligence models

  • Andrei A. Pugachev,
  • Alina V. Kharchenko,
  • Nikolai A. Sleptsov

DOI
https://doi.org/10.22363/2312-9220-2023-28-2-355-367
Journal volume & issue
Vol. 28, no. 2
pp. 355 – 367

Abstract

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A comprehensive review of existing artificial intelligence models, focusing on fourteen prominent language and multimodal generative models from four rapidly evolving categories: Marketing, Copywriting, Image Improvement, and Social Media, is made. As of May 2023, 1,523 AI models are available to end users, with notable Russian services such as Balaboba, GigaChat, and Kandinskiy 2.0 emerging as counterparts to popular foreign neural networks. The potential applications of these tools in various media production domains, including journalism, marketing, and copywriting, are explored. It was necessary to talk about language models, since these are the ones, most connected not only to the media sphere, but to academic writing as well. Moreover, the authors delve into the ethical considerations associated with the use of AI models in professional settings, addressing potential challenges and concerns. The importance of responsible development, use, and regulation of AI technology, as well as the need for collaboration among researchers, governments, and private organizations to ensure ethical AI practices, is highlighted. The authors also outline the prospects for further development of AI models and related research, emphasizing the need to foster an environment of continuous learning for innovation that is inclusive and accessible. This approach will help maximize the benefits of AI while minimizing potential harm, paving the way for a more prosperous, equitable, and sustainable future. The presented materials can serve as an introduction to the emerging branch of AI models development.

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