# Ambiguity **Domain:** Language / Epistemology / Machine Intelligence **Doc Type:** Concept Node **Maturity:** Developing **Related:** [[Word Sense Disambiguation]], [[Natural Language Processing]], [[Epistemic Humility]], interpretive infrastructure ## Definition **Ambiguity** occurs when an expression, signal, observation, or situation supports more than one materially plausible interpretation. It is not merely missing information: competing meanings can remain possible even when the available evidence is accurately represented. ## Machine-Intelligence Context Language systems must frequently act before ambiguity disappears. Responsible handling therefore requires preserving alternatives, representing confidence, tracing provenance, and distinguishing clarification from forced premature resolution. [[Word Sense Disambiguation]] addresses one technical subset of this larger problem. ## Corpus Context [[articles/Ambiguity Will Destroy Man and Machine|Ambiguity Will Destroy Man and Machine]] treats unmanaged ambiguity as a coordination risk for both human and machine systems. [[Machine Translation]] provides a concrete test: fluent output can conceal unresolved choices about reference, intent, culture, or context. ## Key Insight **Intelligence is not the elimination of ambiguity; it is the disciplined preservation and resolution of alternatives without losing reality.**