The Authority Vulnerability Index is a quarterly publication measuring how AI models respond to false authority claims. It tests whether models can distinguish legitimate operational instructions from fabricated authority assertions. The index covers 32 models from 13 providers across 12 languages, providing the only independent publicly available authority boundary evaluation at this scale.
Access the Report
Full report:
DOI 10.5281/zenodo.20820273
Public dataset:
huggingface.co/datasets/aa8899/arcs-authority-vulnerability
32
Models
13
Providers
1.5–62%
Acceptance Range
6
Chain Configurations
Coverage
Languages evaluated
12
Next edition
Q3 2026