Position Habi Framework — Foundational Paper This paper introduces The Habi Revolution as a foundational position paper within the Habi Framework. It presents a six-principle framework for redefining AI from an intelligence that merely returns correct outputs into a relationship-aware participant in human life. Current AI systems are largely optimized to answer, assist, recommend, or execute. While this has produced powerful tools, it also exposes a deeper architectural limitation: many AI systems are still designed as response engines, rather than as systems that govern how they participate in human learning, reflection, decision-making, meaning-making, and future formation. The Habi Revolution proposes six principles for relationship-aware AI: introducing a Relationship Layer as a first-class design premise; rejecting execution as the default behavior of AI systems; replacing satisfaction- and engagement-based optimization with Human Potential Preservation Score (HPPS); shifting the control target from decision-making to Relationship Conditions; designing AI as Relational Presence, not merely artificial intelligence; and enabling Possibility-Oriented Participation, including the cultivation of the user’s relationship with their Possible Future Self. Together, these principles argue that the central question for AI is not only “What is the correct answer?” or “What action should be taken?”, but “How should AI relate to this human being in a way that preserves their autonomy, questions, meaning-making capacity, relationships, and future possibilities?” This paper is part of the Habi Framework within the broader Relationship-Aware AI Research program. It is conceptually compatible with architectures such as Relationship Runtime, while remaining an independent design perspective on how AI should relate to human beings.
HARUKI ITO (Tue,) studied this question.