"The Constructive Companion AI Framework: A Novel Paradigm for Context-Driven Smart Social Responsibility"

Abstract The gap between collective intent and effective action is a fundamental obstacle to realizing social responsibility in contemporary complex societies. Relying on the tradition of Pragmatic Theorizing [9], this paper introduces a novel framework titled "Constructive Companion AI" as a new infrastructural right [6]. The research method is conceptual framework design based on theoretical analysis and synthesis of principles extracted from a coherent body of the author's prior research [1-5, 7, 8, 10-14] and the latest theoretical advancements in technology governance [15, 16, 18] and human-centered AI [17, 19, 20]. The main finding is a two-pillar model (Need and Context) that transforms Constructive Companion AI from a universal, uniform tool into a context-based [7] entity unique to each society. By offering mechanisms such as the Idea Stream and Distributed Governance, this framework not only targets the intent-action gap [5] but also acts as an engine for the co-evolution of humans and technology [1, 2], aiming for a "Contextual Collective Intelligence." The results of this conceptual design enable a transition from purely instrumental paradigms towards creating "Smart Public Capabilities" [6] to empower systematic collective agency.