AI, Translation, and Access to Event-Specific Contex

This article is published under an Open Civil Science framework by the author as an independent scholarly work.It has not undergone formal journal peer review at the time of release.All claims are explicitly framed as conceptual and non-empirical.This paper presents a conceptual framework for analyzing how artificial intelligence reshapeshuman access to meaning through changes in contextual mediation. Situating AI within ahistorical and socio-technical evolution of interpretation, the paper distinguishes between eventspecific context associated with real-world events and interpretive context available to humanagents. It argues that while AI systems substantially expand access to interpreted informationand linguistic synthesis, they do not reconstruct the full situational, temporal, relational, andagency-bearing conditions of events.The contribution is fourfold: (i) a structural distinction between information access andcontext access; (ii) a historical–structural model of context transformation across offline, searchbased, social-media, and AI-mediated epochs; (iii) explicit theoretical constructs includingthe external context-frame (), interaction efficiency (), and a principled separation betweengrounding and embodiment; and (iv) a hypothesis and boundary set specifying conditionsunder which AI interaction tends to support or degrade human agency. The paper advancesan Open Civil Science orientation and makes no empirical claims.Keywords: AI; translation and interpretation; context access; human agency; context collapse;hermeneutics; STS; grounding