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AI Is Changing the Landscape of Academic Writing: What Can Be Done? Authors' Reply to: AI Increases the Pressure to Overhaul the Scientific Peer Review Process. Comment on "Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora's Box Has Been Opened"

Publication at First Faculty of Medicine |
2023

Abstract

With every new technology, there are benefits that come hand in hand with the potential for misuse. Currently, many researchers are already using large language models (LLMs) for tasks such as language editing and abstract generation, which is beneficial and time-saving.

It is undeniable that in the near future, we will witness dedicated tools that facilitate the preparation of scientific manuscripts, including tasks like reviewing relevant literature and generating discussion sections. However, an obvious danger arises: the possibility of fabricating entire articles using LLMs without conducting any genuine research [1].

It is important to note that LLMs do not enable scientists to cheat; scientific fraud has existed long before their advent, but LLMs simply make it easier.