The recognisable stylistic signature of a given AI model, such that experienced users can identify which system produced a response. It describes a distinguishable stylistic property of a model's outputs.
STATE. Operationalised as identifiability: the degree to which a model's outputs can be correctly attributed to it. Measured by recognition accuracy in a blinded source-attribution task; higher-than-chance accuracy indicates a detectable fingerprint.
Proposed measurement protocol (not yet empirically validated): Blinded model-attribution experiment: raters assign unlabelled outputs to source models; identifiability could be reported as accuracy above chance and per-model confusion matrix. Stylometric feature-distance between models could be reported as a convergent measure.
https://andreasehstandlicenseofclarityloc.github.io/augmanitai-periodic/#topic-system-behavior