In the 2023 study titled "Can Linguists Distinguish Between ChatGPT/AI and Human Writing? A Study of Research Ethics and Academic Publishing," a survey revealed that 22% of academic editors are opposed to incorporating Generative AI in scholarly research. However, the same study also indicated that distinguishing AI-generated text from human-written text remains a challenge for both individuals and machines.

Responding to instances where ChatGPT was credited as an author, the prestigious journal 'Nature' revised its authorship guidelines in mid-2023. The new policy states that "Large Language Models do not currently meet our criteria for authorship," effectively disallowing non-human authors.

This talk delves into the controversial role of generative AI in academic research. Is it merely a tool, a potential author, or a threat to be avoided? We will examine recent studies and present diverse viewpoints to shed light on this issue. Our discussion will argue that while generative AI cannot be regarded as an author, at least in the foreseeable future, its value as a research tool is undeniable and cannot be ignored. The industry's use of AI underscores its significant utility, emphasizing the need for its strategic integration into research methodologies.

Participants of this talk will gain insights into incorporating generative AI tools in their research, along with an understanding of the strengths and limitations of current AI technologies.

First delivered at SIIAM Congress, 7 December 2023, Rome, Italy
Recorded session at: https://youtu.be/7iDjcGvc5_Y?si=ufSKJISxtVfiR7nb