A Framework for Contained Artificial Superintelligence: Shared Geo-Mind Foundations, Isolation Architectures, and Human-Centric Ethics

Abstract—The accelerating trajectory from contemporary large-scale models toward artificial general intelligence (AGI) and artificial superintelligence (ASI) presents unprecedented challenges of containment, ethical alignment, and the grounding of machine awareness. This paper advances a multi-layered architectural and governance framework. At its foundation lies the concept of a Shared Geo-Mind, operationalized as a high-refresh-rate holographic electromagnetic (EM) wave field (Field K) that furnishes a constant computational-physical substrate for machine-world awareness. Upon this substrate, we formalize eleven Laws of ASI Design that enforce strict hierarchical isolation of any ASI within a Virtual Digital Environment (AIVDE) nested inside a Virtual Digital Network (AIVDN). We further specify a dual-system network architecture (public-facing System A and isolated System B) augmented by Regional AI Networks (RANs) carrying mandatory ethics modules, together with an Intelligent Ethics Management System (iEMS) whose normative knowledge base remains exclusively human-authored. The framework is compatible with IEEE Ethically Aligned Design principles, contemporary air-gapped and layered-control practices, and foundational work in affective computing. Its objective is to enable beneficial advanced AI while permanently preserving human authority over ethical foundations and physical-world interfaces.

Impact Statement—This work proposes an architecture-level approach to ASI containment that moves beyond software sandboxes and principle-only ethics. By combining a shared foundational substrate for machine awareness, strict isolation laws with permanent computational asymmetry, dual-network isolation, mandatory ethics modules in regional networks, and a permanently human-curated ethics knowledge base, the framework offers a concrete path for preserving human control over advanced AI systems. If adopted, it could inform standards, regulatory design, and high-assurance AI deployments in government, critical infrastructure, and research environments, reducing the risk that exponential capability gains outpace human ethical oversight.

Index Terms—Artificial Superintelligence, AI Containment, Virtual Digital Environments, AI Ethics, Affective Computing, Air-Gapped Systems, Machine Awareness, IEEE Ethically Aligned Design, Shared Geo-Mind.