Using AGI in Human Relationships Without Losing Human Agency

As Artificial General Intelligence (AGI) increasingly provides compatibility analysis, success probability estimation, and cost–benefit evaluation in human relationships, a critical question emerges: Does such analysis genuinely assist human relational decision-making, or does it erode human agency by replacing responsibility with optimization? This paper proposes a non-intervention framework for the ethical and functional use of AGI in human relationships, grounded in the Pain Kernel Framework (PKF). Rather than treating AGI as a decision-making authority, PKF positions AGI as a restricted analytical mirror that must not cross the boundaries of meaning assignment, behavioral prescription, or responsibility transfer. We define precise conditions under which AGI analysis may assist human relational awareness without displacing human choice, and we formalize interruption, responsibility retention, and meaning delay as non-replaceable human functions in the AGI era. This work contributes a human-centered safety architecture for relational AI use that prioritizes preservation of human agency over predictive or optimization accuracy.