The Impact of AI Language Models on Scientific Writing and Scientific Peer Reviews: A Systematic Literature Review

Abstract

Recent advances in deep learning have led to the development of well-known AI language models, such as ChatGPT. Such models have gained widespread attention across various domains, including scientific research. In this context, discussions about the use of these models for writing and reviewing publications have started. Within this paper, we discuss the implications of integrating AI language models into the scientific writing process and provide a comprehensive overview of existing research on this topic. Therefore, we searched, describe, summarize, and organize existing research following systematic literature-review guidelines using the digital library Scopus. Since peer review is a crucial part of scientific research, we also focus on exploring the consequent impact of emerging models on the peer-reviewing process. Existing studies show that AI language models are used significantly in scientific writing. However, this usage requires guidelines and control to overcome potential challenges and problems.

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