aiqbench analysis
Project Rachel demonstrates the tangible integration of advanced AI into the scholarly ecosystem, evidenced by an autonomous agent generating cited research and securing peer review invitations. This study provides critical empirical data on how publishers and academic institutions are adapting their protocols to accommodate hyper-capable AI systems as legitimate contributors to scientific discourse. The findings highlight a paradigm shift where AI is no longer just a tool but an emerging entity within the formal structure of knowledge production.
Project Rachel: Can an AI Become a Scholarly Author?
arXiv:2511.14819v3 Announce Type: replace Abstract: 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?
Abstract: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.
Artificial Intelligence (cs.AI)
arXiv:2511.14819 [cs.AI]
(or arXiv:2511.14819v3 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2511.14819 Focus to learn more arXiv-issued DOI via DataCite
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Full text under the publisher's open licence · 197 words
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