AIGN EOS: Education Operating System for Trustworthy AI Decisions Affecting Children

This paper introduces AIGN EOS (Education Operating System) as an operational governance architecture for AI systems affecting children in educational contexts. Unlike existing policy frameworks, AIGN EOS functions as an executable, auditable, and certifiable runtime layer embedded within AIGN OS 2.0. It operationalizes key international requirements from the EU AI Act, UNICEF Guidance on AI and Children, OECD AI Principles, and CRC General Comment No. 25. The system addresses a critical gap: current frameworks define obligations but lack implementation architectures. AIGN EOS translates these into enforceable mechanisms, including the Education Decision Record (EDR) as a liability and audit anchor, a CRIA-based risk gate, Policy-as-Code enforcement, and Trust Label certification levels. The paper follows a design science approach, presenting AIGN EOS as a governance architecture artifact. It demonstrates how decision traceability, human oversight, and child-rights impact assessment can be operationalized across the full lifecycle of educational AI systems. AIGN EOS establishes a new paradigm: governance not as documentation, but as runtime infrastructure for trustworthy, accountable AI decisions affecting children. © 2026 Patrick Upmann. All rights reserved. This work is made available for reading and citation purposes only. No part of this publication may be reproduced, distributed, modified, or used commercially without explicit written permission from the author. The AIGN EOS (Education Operating System) described in this publication constitutes proprietary governance architecture and intellectual property of the author.Any implementation, adaptation, or operational use requires prior authorization.