Knowing What We Do Not Know: Ignorance Auditing, AI-Generation Detection, and the Epistemic Lessons of an AI-Assisted Research Pipeline

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Authors: Rowan Brad Quni-Gudzinas
Cited by: 2

Abstract

This paper synthesizes three threads from a single research organization's experience with AI-assisted research and publication. v0.3 applies the corrections identified by post-publication adversarial review: corrected Kreps et al. 2020 bibliographic metadata (JEPS 9(1):104-117), corrected the 2026b title to the registered record title, added the DOI for the Corrections and Governance Record (2026c, 10.5281/zenodo.21901930), qualified the 'independent analyses' claim to disclose commissioning and AI assistance, softened the Landauer characterization to match the analyzed paper's own hedging, made the fabrication rebuttal verifiable through the published governance record, tightened the AI disclosure, and disclosed the self-citing corpus limitation.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Ethics and Social Impacts of AI Computational and Text Analysis Methods

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 August 2026
Document type
Preprint