OntoOmnia : A Comprehensive Ethical and Governance Architecture for AI and Sociotechnical Systems

This paper introduces OntoOmnia: A Comprehensive Ethical and Governance Architecture for AI and Sociotechnical Systems, extending the author’s previous work on the OntoOmnia meta-operating system for AI singularity management. While the earlier study focused on resilience and risk management at the threshold of superintelligence, this paper addresses the broader challenges of embedding ethical oversight, transparency, accountability, and participatory governance into the fabric of contemporary and near-future AI ecosystems. Drawing upon the same recursive Tree/Mesh architecture and foundational OntoLoop/Omnia principles, OntoOmnia here is reconceptualized as a universal governance layer, supporting not only the safe evolution of advanced AI but also the digital rights, agency, and co-governance of human stakeholders in increasingly complex sociotechnical environments. Key innovations include the I·AM Framework for explicit identity and agency declarations, the MetaRuleSet for dynamic ethical filtering and policy enforcement, and a mesh-layered consensus mechanism for decentralized, audit-ready decision-making. By positioning ethics and accountability as intrinsic, operational properties—rather than external add-ons—the framework enables adaptive, transparent, and democratically-aligned AI governance across a range of domains, from autonomous systems to virtual civic spaces. In doing so, this paper complements and expands upon the singularity-focused OntoOmnia model, illustrating the versatility of meta-operating system principles for building trustworthy AI societies. The approach remains conceptual, intended as an interdisciplinary blueprint for researchers, policymakers, and practitioners interested in ethics-by-design, digital governance, and the future of human–AI collaboration.