Ambiguity
Words carry multiple valid meanings. Systems fail when they choose a meaning without preserving uncertainty.
Language Distortion Index
LDI studies ambiguity, translation loss, cultural drift, word-context interchangeability, and semantic distortion across AI reasoning, search, communication, audits, and decision systems.
Words carry multiple valid meanings. Systems fail when they choose a meaning without preserving uncertainty.
Meaning can shrink or shift between languages, scripts, cultures, and technical domains.
A phrase may be correct linguistically but wrong in context because social meaning has moved.
Models and people often swap near meanings, creating confident but distorted conclusions.
Retrieval can amplify the wrong intent when language is flattened into keywords.
LDI helps identify where semantic distortion creates downstream decision cost.
| Dimension | Question | Risk |
|---|---|---|
| Word Stability | Does the term keep its meaning across contexts? | False equivalence |
| Translation Fidelity | What is lost when the concept crosses language? | Meaning collapse |
| Cultural Anchoring | Does the system understand local/social usage? | Wrong interpretation |
| Intent Preservation | Does output preserve the original purpose? | Misguided action |
| Decision Damage | Does distortion increase correction or risk? | Hidden delay |
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.