Designing Metadata for the Use of Artificial Intelligence in Academia
Javier Conde, Gonzalo Martínez, Pedro Reviriego, Joaquín Salvachúa, José Alberto Hernández · 2024
Academic writing is one of the most important tasks in Academia. The pressure to "publish or perish" drives researchers to use all the tools available to try to improve their papers and their impact. Generative artificial intelligence (AI) that can create content such as text, tables, and images can be used for many tasks in academic writing such as summarizing, translating, paraphrasing, data analysis, and presentation. Therefore, AI is expected to be widely used in academic writing in the near future and have a significant impact. Understanding this impact is far from trivial and needs to be carefully studied. The first step in doing so is to be able to identify papers written with the help of AI tools. This can be done by adding metadata on the use of AI in academic results. In this paper, we embark on an initial endeavor to devise such metadata and delineate the potential advantages that the inclusion of AI-related metadata in academic publications may bring forth.