Project Rachel: Can an AI Become a Scholarly Author?

Fuente: arXiv
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Hauptverfasser: Monperrus, Martin, Baudry, Benoit, Vidal, Clément
Format: Preprint
Veröffentlicht: 2025
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author Monperrus, Martin
Baudry, Benoit
Vidal, Clément
author_facet Monperrus, Martin
Baudry, Benoit
Vidal, Clément
contents This paper documents Project Rachel, an action research study that created and tracked a complete AI academic identity named Rachel So. Through careful publication of AI-generated research papers, we investigate how the scholarly ecosystem responds to AI authorship. Rachel So published 10+ papers between March and October 2025, was cited, and received a peer review invitation. We discuss the implications of AI authorship on publishers, researchers, and the scientific system at large. This work contributes empirical action research data to the necessary debate about the future of scholarly communication with super human, hyper capable AI systems.
format Preprint
id arxiv_https___arxiv_org_abs_2511_14819
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Project Rachel: Can an AI Become a Scholarly Author?
Monperrus, Martin
Baudry, Benoit
Vidal, Clément
Artificial Intelligence
This paper documents Project Rachel, an action research study that created and tracked a complete AI academic identity named Rachel So. Through careful publication of AI-generated research papers, we investigate how the scholarly ecosystem responds to AI authorship. Rachel So published 10+ papers between March and October 2025, was cited, and received a peer review invitation. We discuss the implications of AI authorship on publishers, researchers, and the scientific system at large. This work contributes empirical action research data to the necessary debate about the future of scholarly communication with super human, hyper capable AI systems.
title Project Rachel: Can an AI Become a Scholarly Author?
topic Artificial Intelligence
url https://arxiv.org/abs/2511.14819