Establishing Structural Execution Boundaries for Irreversible AI Actions - The WRS Framework

This paper introduces the World Reliability Ruleset (WRS), a structural framework for governing irreversible execution in AI-enabled physical systems.As artificial intelligence systems increasingly transition from decision support to autonomous execution, existing governance models primarily focus on alignment, optimization, and probabilistic risk control. However, these approaches often assume that once a decision is generated, execution is permissible. This assumption fails in contexts where execution produces irreversible physical, kinetic, or systemic consequences.The WRS framework addresses this gap by introducing a veto-based execution boundary architecture. Instead of evaluating intent, probability, or optimization outcomes, WRS enforces execution permissibility through a deterministic default-block rule: execution is allowed only if all non-negotiable constraints are satisfied.The framework formalizes irreversible state transitions, introduces an execution control topology, and proposes structural separation between cognition and execution authority. This design prevents intelligence scaling from automatically expanding execution power.A companion technical specification provides the canonical rule structure (WRS-C / WRS-D), trigger semantics, and scenario mapping methodology.Companion specification:"The World Reliability Ruleset (WRS): A Technical Specification Supporting the Structural Execution Boundary Framework".Primary academic distribution: SSRN: https://ssrn.com/abstract=6307239 or http://dx.doi.org/10.2139/ssrn.6307239