The Universal Ignorance Audit: A Fifteen-Question Method for Systematic Inquiry into the Structure of Not-Knowing

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Authors: Rowan Brad Quni-Gudzinas
Cited by: 2

Abstract

The Universal Ignorance Audit is a fifteen-question, five-phase method for systematically interrogating the structure of not-knowing in any domain. v0.3 applies the corrections identified by post-publication adversarial review: corrected Whitcomb et al. 2015 bibliographic metadata (PPR 94(3):509-539), corrected Merton 1987 page range (13:1-29 per the publisher), added the reproducibility limitation to the meta-audit, added selection criteria for the worked applications, aligned the Question 14 label with the relational-ignorance definition, and tightened the AI disclosure.

Fields of Study & Subjects

Explainable Artificial Intelligence (XAI) Epistemology Ethics and Metaphysics Ethics and Social Impacts of AI

Publication details

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