V²-CORE: Velocity-Variance Control-Oriented Response Engine An Open Technical Architecture for Ethical System Behaviour Under Uncertainty-Derived From DDGS Framework
Murali Swayambu
Abstract
Minor clarification update:Clarified interpretation of time-based safeguards (system recycle , legal mandate).No change to core architecture, principles, or safeguards. V²-CORE (Velocity-Variance Control-Oriented Response Engine) is a general-purpose technical extension of the Digital Democratic Governance Standard (DDGS, DOI: 10.5281/zenodo.18805343). V²-CORE defines a system-level architecture for governing behaviour under high-velocity or high-uncertainty signal conditions. It is not designed exclusively for AI or LLM deployments; rather, it is a general framework from which AI systems, LLMs, digital platforms, and any signal-processing pipeline may adopt compliant implementations. V²-CORE quantifies operational risk using velocity (V = dS/dt) and variance (Var[V]) and governs proportional system responses through a zone classification protocol (Green / Yellow / Red). The outer feedback loop governs process-flow efficiency and system calibration only; it does not influence actioned decisions in real time. Actioned items that are not further escalated within the 24-hour review cycle are automatically resolved to the default Green state. References to a 24-hour interval in this document denote a default system recycle and review cycle for data and state refresh, not a legal, regulatory, or enforcement deadline. All architectural layers are structurally separated. V²-CORE aligns with IEEE P2863, OECD AI Principles, the EU AI Act (Title IX, GPAI), and the DDGS core framework. Where this document refers to an immutable quality log, it corresponds to the immutable public ledger principle defined in the DDGS core framework.