DOI: 10.5281/zenodo.18441426
title: Sovereign Cognitive Infrastructure Agent (SCIA): A Law-Native, Governance-Grade Artificial Intelligence Architecture for Public Infrastructure, Sovereign Autonomy, and Global Democratic Order

description: Final Title (Zenodo Master Record)Sovereign Cognitive Infrastructure Agent (SCIA):A Law-Native, Governance-Grade Artificial Intelligence Architecture for Public Infrastructure, Sovereign Autonomy, and Global Democratic Order



Zenodo Description 

The Sovereign Cognitive Infrastructure Agent (SCIA) constitutes a comprehensive, original, and non-derivative body of work establishing a new global paradigm for artificial intelligence in public infrastructure. This research corpus introduces, defines, and operationalizes Cognitive Infrastructure Intelligence (CII)—a previously nonexistent category of AI in which intelligence functions as a constitutionally bounded, legally intelligible, and democratically accountable component of state infrastructure.

Unlike conventional artificial intelligence systems—whether market-driven, compliance-oriented, or surveillance-centric—SCIA is architected as law-native by design. Legal authority, constitutional principles, fundamental rights, and sovereign autonomy are embedded as first-class computational primitives, governing system behavior at runtime rather than through post-hoc regulation or external oversight.

This Zenodo record aggregates and formally anchors a five-document flagship framework, collectively constituting a governance-grade, exportable, and standards-setting intellectual property foundation:





Foundational IP FrameworkEstablishes the ontological, architectural, and doctrinal basis of SCIA, defining Cognitive Infrastructure Intelligence (CII) as a new class of artificial intelligence. It articulates the six-layer sovereign architecture, the policy-native law and ethics engine, and the foundational declaration that SCIA is not AI deployed in infrastructure, but infrastructure endowed with lawful cognition.




Technical Reference Architecture (TRA)Provides an engineering-grade, implementation-neutral specification suitable for national-scale deployment. It details layer-by-layer system design, anticipatory digital twin logic, non-retentive cognitive perception, post-quantum–secure sovereignty, deterministic fail-safe behavior, and continuous auditability—while remaining patent-safe and vendor-neutral.




Legal, Ethics, and Compliance DoctrineFunctions as the trust anchor for regulators, courts, and oversight bodies. It defines constitution-aware artificial intelligence, embeds human rights as enforceable computational constraints, maps SCIA to and beyond the EU AI Act, GDPR, Indian DPDP Act, and comparative constitutional doctrines, and establishes a rigorous human-in-the-loop and accountability model.




Use-Case and Deployment Playbook (National Rail Infrastructure Focus)Translates SCIA into an operational governance layer for railways and large transport hubs. It defines station-level cognitive nodes, phased legitimacy-first deployment (Shadow → Advisory → Assisted), safety- and rights-first operational use-cases, and performance metrics aligned with public trust, legal conformity, and institutional resilience.




International Positioning and Soft-Power BriefPositions SCIA as a globally transferable governance architecture for artificial intelligence, offering a fourth paradigm distinct from U.S. market-centric, EU regulatory-first, and Chinese surveillance-centric models. It articulates adoption pathways for the United Nations, G20, and Global South, and establishes India as a normative leader in sovereign, democratic AI governance.



Across all documents, SCIA enforces privacy by architecture, renders mass surveillance computationally impossible, prohibits autonomous coercion, and guarantees that every system action is traceable to lawful authorization and human accountability. Sovereignty is preserved cryptographically, institutionally, and legally, with full operability independent of foreign cloud infrastructure, foreign model control, or extraterritorial jurisdiction.

Collectively, this work establishes artificial intelligence as public institutional capacity rather than private or extraterritorial power, providing a durable foundation for democratic governance in the age of intelligent infrastructure. SCIA is positioned as a reference architecture, doctrinal framework, and global standard-setting contribution for states seeking lawful, ethical, and sovereign AI deployment.



Copyright

Copyright (C) 2026 The Authors.

This work is an original intellectual creation. All rights are reserved by the author(s).No part of this work may be reproduced, adapted, distributed, or used to create derivative frameworks without explicit attribution and authorization, except as permitted under applicable law.The authors retain full intellectual property rights over the conceptual architectures, classifications, doctrines, and frameworks contained herein.