AI Misinterpretation Theory: How Automated Systems Produce Threat Classifications and Erode Rights introduces a new primitive within the SignalRupture framework. This essay formalizes the mechanism by which AI systems collapse human meaning, misclassify political speech as criminal threat, and trigger real‑world enforcement actions. Using a recent Canadian case study — a widely circulated TikTok video in which police visited a woman after an AI‑flagged post calling the Prime Minister a “scumbag” — the paper demonstrates how symbolic rights erode when governance shifts from human interpretation to machine classification. The essay integrates infrastructural incentives, post‑web epistemic collapse, and the Society Blueprint’s diagnostic architecture to show why no new law is required for rights to disappear in practice. Automated systems over‑flag to avoid liability, institutions act on these misinterpretations, and individuals are blamed for outputs produced by infrastructures that cannot understand meaning. This work extends the SR canon by introducing AI Misinterpretation Theory as a foundational diagnostic layer within the broader architecture of Infrastructural Determinism.
Signal Rupture (Sun,) studied this question.