ChatGPT in the Context of Scientific Communication

Abstract

Introduction: The growing interest in the potential use of ChatGPT in the field of educational and scientific communication has prompted close attention from the editors of scientific journals, administrators, and educators to limit its impact on potential users. It's clear that a total ban on using ChatGPT in the realities of modern society is impossible, underscoring the need to reach a consensus on acceptable boundaries for its use. Purpose: To describe the primary opinions of editors of scientific publications and publishers that have emerged around the mechanisms of using content generated by ChatGPT by authors of scientific article manuscripts. Focus and Boundaries of Neural Networks in the Context of Scientific Communication: The established status quo concerning the partially permissible reliance on content generated by ChatGPT in certain sections of a scientific manuscript, especially those containing less original content, is accompanied by a range of questions about the ethical aspects of involving artificial intelligence in the realm of scientific creativity. One such question pertains to illustrations created by artificial intelligence tools upon an author's request. Conclusions: Although there is no clear answer to many questions related to the prospects of using neural networks in scientific communication, monitoring the current consensus on the issue will allow researchers to adhere to journal policies, uphold the ethics of scientific communication, and avoid the imitation of creating scientific content.

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