European Science Editing 50: e123908, doi: 10.3897/ese.2024.e123908
Proposing authorship for artificial intelligence and large language models
Jaime A. Teixeira da Silva‡‡ Unaffiliated, Miki, Japan
Corresponding author: Jaime A. Teixeira da Silva ( jaimetex@yahoo.com ) Academic editor: Ksenija Bazdaric © Jaime A. Teixeira da Silva. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Citation:
Teixeira da Silva JA (2024) Proposing authorship for artificial intelligence and large language models. European Science Editing 50: e123908. https://doi.org/10.3897/ese.2024.e123908 |  |
Abstract
The current and predominant school of thought in academic publishing, with a correspondingly rigorously implemented set of ethical policies, notes that classic authorship is a purely human endeavor. However, such rigid conceptual restrictions on authorship for artificial intelligence (AI), like large language models (LLMs), may be borne from fear, emerging perhaps from being intellectually threatened by AI/LLMs that might outperform humans. In this paper, considering several caveats, a world of academic publishing in which AI/LLMs are offered a fair opportunity of authorship, coined AI-authorship, is envisioned.
Keywords
accountability; author; principles; responsibilities; transparency; trust