This is an Azerbaijani translation.
The recent development of Large Language Models (LLMs) and Generative AI (GenAI) presents new challenges and opportunities in scholarly communication. This has resulted in diverse policies of journals, publishers, and funders around the use of AI tools. Research studies, including surveys, suggest that researchers are already using AIs at a significant scale to create or edit manuscripts and peer review reports. Yet AI accuracy, effectiveness, and reproducibility remain uncertain. This toolkit aims to promote responsible and transparent use of AI by editors, authors, and reviewers, with links to examples of current policies and practices.
Translation provided by members of EASE Azerbaijan.
Disclaimer – Only the English version of the ‘Recommendations for the use of artificial intelligence in scientific communication’ has been fully approved by the EASE Council. Translations into other languages are provided by volunteers as a service to our readers and have not been validated by EASE or any other organisation. EASE therefore accepts no legal responsibility for the consequences of the use of the translations.
Author(s)
EASE Peer Review Committee
Publisher
EASE
Categories
Guidelines, Azerbaijan