AI Implementation in Publishing Processes: Analysis of challenges and benefits based on practical cases of Publishing houses

DOI 10.17721/2522-1272.2024.85.3

Oleksii Sytnyk,

PhD in social communications, Associate Professor,
Educational and Scientific Institute of Journalism,
Taras Shevchenko National University of Kyiv,
0000-0002-0853-1442

ABSTRACT

The main objective of this study is to conduct a comprehensive overview of the challenges and advantages of implementing artificial intelligence (AI) in publishing processes, focusing on practical case studies of leading publishing houses. This topic is particularly relevant due to the significant technological changes in the publishing industry. The development of digital technologies and the introduction of AI offer substantial opportunities for improving the efficiency of production processes. Still, they also present challenges related to staff adaptation and overcoming technophobia. This research analyzed five successful cases of AI implementation in publishing processes (Springer Nature, Penguin Random House, Pearson, Wiley, Elsevier). The methodology involved case study analysis and expert evaluation to verify the findings. The key results reveal that technophobia, especially among employees accustomed to traditional workflows, is one of the barriers to AI integration. However, the resistance to new technologies can be significantly reduced through educational programmes, workshops and training courses. The study concludes that AI improves the speed and quality of editorial work and helps create innovative content formats. Successful examples of AI use demonstrate that the technology can be a valuable tool that complements human work while still requiring ethical oversight and human control. The significance of this research lies in its contribution to understanding how to properly integrate AI into the publishing industry, increasing productivity while maintaining a creative and ethical approach to the processes involved.

KEYWORDS: artificial intelligence; AI; technophobia; innovations; publishing industry; media technologies; automation.