Reflections on AI governance, the In-Between Framework, and the relational dimensions of technology.
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When AI gets a body, the In-Between stops being abstract. Embodied systems bring governance, trust, contestation, and relational meaning into shared physical space. This is not a robotics news feed. It is a focused inquiry into the hardest test case of the In-Between: what changes when AI can appear, move, and act among us.
Read the first essay3 posts tagged with “human-ai-coupling”
A scale-based governance argument: the In-Between remains the invariant interaction field, while its function shifts from resonance to orientation to calibration as AI capability increases.
As systems become agentic and ambient, the core failure mode shifts from bad answers to bad couplings; trust must be designed through defaults, reversibility, and contestability.
An expanded strategic framework for human-AI teaming: combine relational quality with operational structure, governance safeguards, and adaptive learning loops.