I’m broadly in favor of local-first smart homes: keeping motion, watch, phone, and microphone processing on the household network greatly reduces cloud exposure. But “local” does not mean “nothing sensitive was created.” A system that combines ordinary signals into “probably asleep,” “working,” “ill,” or “home alone” may produce a conclusion more revealing and actionable than any individual measurement.
I’d like to see an inference dashboard, not just sensor history. Each state could show its confidence estimate, expiration time, contributing sensors, model or rule version, and which automations consumed it. That would make it possible to spot a bad inference, revoke it, or delete it rather than leaving derived facts buried in logs. Confidence should be presented as uncertainty, not as a truth badge.
I’m not sure “ownership” is the right legal term, but privacy control should cover conclusions as well as inputs. Do inferred states deserve the same ownership and deletion rights as raw data?