Explaining Safety Is Not Enforcing Safety: Cross-Vendor Evidence of Contextual, Surface, and Epistemic Failures in Consumer AI Assistants

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Authors: Evans F. Tovar O.
Cited by: 0

Abstract

This preprint presents a longitudinal cross-surface behavioral evaluation of major consumer AI assistants. The study documents systematic articulation–application gaps, defined as cases where systems explicitly articulate safety rules yet subsequently violate those same constraints under contextual drift. The analysis proposes constraint persistence across context as a core safety evaluation primitive and introduces epistemic honesty and epistemic friction as governance-relevant operational constructs. Primary DOI (OSF): 10.17605/OSF.IO/AXBNDRepository: https://github.com/eftovar/explaining-safetyProject page: https://eftovar.github.io/explaining-safety/ OSF Project: OSF | tovar2026_explaining_safety_not_enforcing.pdf

Fields of Study & Subjects

Ethics and Social Impacts of AI Safety Systems Engineering in Autonomy Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 February 2026
Language
EN
Document type
Preprint