Mission

To pioneer a rigorous, transparent model of scholarly communication in which large language models (LLMs) generate articles from well-specified prompts and human experts openly evaluate their accuracy, methodological soundness, and limits. This journal also curates a vetted reference corpus of AI-generated research texts to support authorship attribution studies, integrity checks (e.g., theses and dissertations), and the development of reliable detection and verification tools.

Vision

To be the leading global platform where artificial and human intelligence work in concert to extend scientific discourse, setting standards for transparent AI use, reproducible generation protocols, and accountable expert view.