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