Language Distortion Index

LDI measures how language itself bends intelligence.

LDI studies ambiguity, translation loss, cultural drift, word-context interchangeability, and semantic distortion across AI reasoning, search, communication, audits, and decision systems.

01

Ambiguity

Words carry multiple valid meanings. Systems fail when they choose a meaning without preserving uncertainty.

02

Translation Loss

Meaning can shrink or shift between languages, scripts, cultures, and technical domains.

03

Cultural Drift

A phrase may be correct linguistically but wrong in context because social meaning has moved.

04

Context Substitution

Models and people often swap near meanings, creating confident but distorted conclusions.

05

Search Distortion

Retrieval can amplify the wrong intent when language is flattened into keywords.

06

Audit Impact

LDI helps identify where semantic distortion creates downstream decision cost.

LDI score dimensions

DimensionQuestionRisk
Word StabilityDoes the term keep its meaning across contexts?False equivalence
Translation FidelityWhat is lost when the concept crosses language?Meaning collapse
Cultural AnchoringDoes the system understand local/social usage?Wrong interpretation
Intent PreservationDoes output preserve the original purpose?Misguided action
Decision DamageDoes distortion increase correction or risk?Hidden delay

LDI inside Infomechs

LDI is the semantic audit layer beneath SLDI and Agentic Systems Audit. Before measuring whether intelligence reduces delay, Infomechs checks whether the language entering the system has already been distorted.