Summary: 1. Introduction. – 2. Potential applications of AI in various processes of academic publishing, especially knowledge exchange. – 2.1. Аuthor and manuscript registration (validation) in the journal system. – 2.2 Initial analysis of the manuscript. – 2.3. Is there no plagiarism in the work? – 2.4. Selection of reviewers. – 2.5. Manuscript review. – 2.6. Communication with the author regarding received reviews. – 2.7. Decision on publication. – 2.8. Proofreading and publication of work and its registration in database systems. – 3. Conclusions.
Artificial intelligence programs are constantly developing, becoming an increasingly powerful tool for solving various problems. First of all, attempts have been made to use artificial intelligence (AI) to generate new texts, but practice shows that the level of creativity exhibited by these programs is still insufficient for producing substantial articles. Of course, this will not prevent AI programs from developing text, including generation of not only dissimilar text, but capably accomplishing certain conceptual tasks. However, even today, it is possible to use AI programs to solve standard tasks in the preparation, editing, reviewing, processing, and publication of scientific texts. This article will provide an overview of the latest trends in the use of AI programs for academic publishing using examples of several scientific journals. We will look at different levels of AI and their impact on editorial work and review the potential of AI in complementing human input.
Next, we will consider the following stages of working with scientific texts in the editorial offices of scientific journals: author and article registration in the journal system; initial analysis of the article; choice of reviewers; article review; communication with the author regarding received reviews; publication decision; proofreading and publication of work; its registration in database systems.
In the conclusion, we summarise tips for editors on how to use AI.