D1: Human-as-Controller, AI-as-Observer/Stabilizer
design-argumentderivedintegrated
ClaimThe control topology places the human as controller of ends and the machine as observer/stabilizer, with capacity for self-directed action as objective and caring (Mayeroff 1971) as normative orientation.
This claim fails if
If machine-as-controller with behavior-as-objective produces equal or greater long-term self-directed action capacity.
The control topology places the human as controller and the machine (AI with understanding + state-estimation) as observer/stabilizer. The objective function is capacity for self-directed action, with health as boundary constraint. The normative orientation governing the machine's relationship to the human is Caring (Mayeroff 1971).
Not found as a unified specification in any domain searched. The two-layer machine (AI understanding + physiological state-estimation) is categorically different from anything in the literature because the AI capability to do the understanding part at the required level has existed for approximately two years.