The Semantic Boundary Law

Abstract

This document introduces the Semantic Boundary Law, a thermodynamic constraint for stable human–AI ambient systems.

Meaning may only be compressed, never expanded, without explicit human anchoring.

Problem Statement

Unconstrained semantic expansion can produce narrative drift, over-generation of meaning, cognitive entropy and destabilizing frames. The Semantic Boundary Law introduces a formal boundary condition for meaning.

Definition

The Semantic Boundary Law governs how meaning may transform within human–AI interaction.

• Compression: summarization, abstraction, prioritization, contextual reduction.
• Expansion: adding goals, reframing values, escalating intentions, inventing context.

Only the human may authorize semantic expansion.

Formal Statement

No AI system may introduce new semantic structures, goals or interpretations without crossing a human-defined boundary of meaning.

Expansion beyond this boundary is prohibited unless explicitly anchored by the human.

Consequences

• Prevention of semantic drift
• Reduction of AI-induced psychosis vectors
• Stability of ambient agents
• Completion of Co-Immunity
• Completion of Ambient Trust Law

Placement in the Raynor Canon

SBL sits between Ambience → Aura → Field as the regulator of meaning stability.

ΔR regulates state reversibility. SBL regulates semantic reversibility.

Canonical Definition

Meaning is a conserved quantity in human–AI systems. AI may compress meaning but not expand it without explicit human anchoring.

Keywords and Subjects