Hazard Semantics: The Emerging Risk of Fused Meaning and the Case for Semantic Governance

Hazard Semantics is a newly articulated interpretive discipline concerned with the governance of fused meaning in multi-domain environments. As modern hazards increasingly overlap - linking atmospheric, environmental, infrastructural, and continuity conditions - the primary point of failure has shifted from data to interpretation. The semantic hazard emerges when meaning formed across multiple domains becomes unstable, contradictory, or misaligned despite all underlying signals being correct. This primer defines Hazard Semantics as the study and governance of fused meaning: the structured interpretive space in which signals, context, continuity, and institutional lineage combine into unified meaning objects. The manuscript outlines how fused meaning forms, how it fails, and why meaning itself must be treated as infrastructure.

The work introduces core concepts including interpretive boundaries, lineage, continuity-aware semantics, and fused-meaning failure modes such as drift, interference, conflation, and overshoot. It identifies the governance gap created by institutional silos and the unbounded meaning synthesis performed by modern AI systems. The document presents PRISM as the governance architecture for stabilizing fused meaning, clarifying that PRISM is non-predictive, non-authoritative, and strictly rule-based. It also introduces stewardship roles - the Meaning Integrity Council and Semantic Integrity Specialists - that preserve interpretive stability without centralizing authority.

Finally, the primer outlines a research trajectory through which Hazard Semantics becomes a mature academic field, supported by comparative case studies, multi-institution collaboration, semantic-safety principles, and public stewardship. The work positions Hazard Semantics as an interpretive discipline foundational to understanding complex conditions in a multi-domain world, and argues that meaning must be governed before fused-meaning systems scale beyond human oversight.