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Abstract
The rapid emergence of generative AI and large language models (LLMs) such as ChatGPT in particular since late
2022 has brought about a profound transformation in the practices of academic writing and scientific publishing,
it is considered among the most significant shifts since the consolidation of the peer-review system. This article
aims to provide a structured critical review of the uses of these technologies across the various stages of scholarly
production, from drafting manuscripts to reviewing, editing, and publishing them. It discusses the opportunities
these tools afford especially in improving the linguistic competence of non-native English speakers against the
methodological and ethical risks of informational hallucination, bias, plagiarism, breaches of confidentiality, and
the absence of accountability. It also surveys the positions of major international bodies and large publishers,
and highlights the gap between declared policies and actual disclosure practices. It concludes that the present
moment calls for a transition from declarative policies to verifiable, accountable governance frameworks that
establish a responsible use of AI which serves the quality of knowledge rather than undermining it.