AI Environmental Theory : A Structural Framework for AI-Scored Societies

This paper presents AI Environmental Theory as a structural framework for or-ganizing a body of research concerning AI-mediated informational environments andtheir relationship to emerging forms of social coordination. Rather than introducingnew conceptual models, the paper clarifies how existing studies can be situated withina unified analytical architecture.At the meta-theoretical level, the framework builds upon the concept of AI as Envi-ronment, which interprets artificial intelligence as part of the informational conditionswithin which human judgement and social coordination occur. Within this perspec-tive, the AI-Scored Society is positioned as a root-level social configuration describinghow evaluation signals related to visibility, trust, and opportunity circulate withinAI-mediated environments.The framework is structured into multiple analytical layers, including conceptualdefinitions, operational mechanisms, institutional contexts, and applied domains. Byorganizing these layers into a coherent structure, the paper provides a structural mapthat connects previously developed studies into a unified theoretical framework.The contribution of this paper lies in the clarification of these structural relation-ships, offering a foundation for future theoretical and applied research on AI-mediatedinformational environments.