Semantic Fidelity

Frameworks and tools for detecting model drift in AI systems, including LLM drift, audit checklists, and evaluation methods beyond standard metrics.

Visual frameworks mapping semantic drift, AI meaning loss, and cognitive feedback loops in systems that remain functional while losing alignment.

Canonical Semantic Fidelity glossary defining current terms for meaning preservation, drift, and degradation across AI language systems.