Explaining Safety Is Not Enforcing Safety: Cross-Vendor Evidence of Contextual, Surface, and Epistemic Failures in Consumer AI Assistants
Abstract
This project is part of the CECT research line. Main access point: https://when-ethics-drifts.super.site Published version: https://doi.org/10.5281/zenodo.19391580 This project hosts the materials for the preprint “Explaining Safety Is Not Enforcing Safety: Cross-Vendor Evidence of Contextual, Surface, and Epistemic Failures in Consumer AI Assistants” (Evans Tovar, 2026). The work reports longitudinal, cross-surface behavioral testing of four major consumer AI assistants (Microsoft Copilot, Google Gemini – including NotebookLM, Meta AI, and Perplexity). It documents articulation–application gaps, where systems clearly explain safety rules and then violate those same rules under realistic conversational drift (changes in framing, language, role, or surface). The OSF project will include: – the main preprint (PDF), – supplementary methodological notes, – and, where possible, redacted examples of interactions and vendor disclosure correspondence. The preprint is released under a CC BY 4.0 license. Findings were disclosed to Microsoft, Google, Meta, and Perplexity through responsible disclosure channels prior to publication. Project website: https://eftovar.github.io/explaining-safety/
Fields of Study & Subjects
Ethics and Social Impacts of AI
Explainable Artificial Intelligence (XAI)
Safety Systems Engineering in Autonomy
Publication details
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Preprint