How to cheat on your final paper: Assigning AI for student writing

To date, scholars have primarily focused on the implications of LLMs on education, with limited attention to their impact on science and scientific practices.

“To date, scholars have primarily focused on the implications of LLMs on education (e.g., Perkins 2023; Fyfe 2023) with limited attention being paid to their impact on science and scientific practices (for exceptions, see Chubb et al. 2022;Ribeiro et al. 2023).”

This adds a new and fresh direction to the LLM discussion, which has focused heavily on the impact of this technology for individual academics and learners.

“This adds a new and fresh direction to the LLM discussion, which has focused heavily on the impact of this technology for individual academics and learners (Fyfe 2023;Perkins 2023).”

Users obtaining LLM outputs might claim them as authors for deceiving readers, cheating during exams, or improving bibliometric indicators.

“The users obtaining such outputs might therefore claim them as the authors, e.g., for deceiving readers (Grinbaum and Adomaitis, 2022), for cheating during exams (Fyfe, 2023), or for improving bibliometric indicators (Crothers et al., 2022).”