This paper defines the concept of Visibility Allocation within the theoretical frame-work of AI-Scored Societies. In AI-mediated environments, visibility does not ariseprimarily from individual intention, voluntary disclosure, or simple information publi-cation. Instead, visibility emerges as a structural property of environments in whichinformational signals are continuously mediated.The analysis first introduces the concept of Visibility Mediation, defined as theenvironmental process through which information, actions, evaluations, and signalsbecome observable within AI-mediated environments. Through this mediation process,signals enter a shared environment in which actors become differentially observable.On this basis, the paper defines Visibility Allocation as the structural distributionof visibility across actors within AI-mediated environments. Visibility is thereforeunderstood not merely as attention, publicity, or information availability, but as anenvironmentally distributed condition that structures how actors appear within themediated signal environment.The paper further identifies three structural conditions under which Visibility Al-location emerges: algorithmic ordering, signal amplification, and attention concentra-tion. These conditions describe how visibility becomes unevenly distributed acrossactors within mediated environments.Within the theoretical architecture of AI-Scored Societies, Visibility Allocation con-stitutes the first layer of a broader institutional sequence in which the distribution ofvisibility precedes the allocation of responsibility and trust.By defining Visibility Mediation and Visibility Allocation as structural properties ofAI-mediated environments, this paper provides a conceptual foundation for analyzinghow visibility operates within AI-Scored Societies and how it structures subsequentinstitutional distributions.
Tsutomu Kawazoe (Mon,) studied this question.