
Advocate for Open AI Models

Misplacing keys or a phone can add unnecessary stress for people aging in place. This post explores a simple, ethical, and edge-primary autonomous intelligence use case: gently checking whether essential items are placed in a designated spot after returning home. It explains affordable devices, how the capability fits into the OAII / Open SGI model,…

PERSignal defines the minimal OAII‑conformant Signal subclass required to carry edge‑primary sensor observations into the Personal Event Recognition (PER) pipeline.

Autonomous Intelligence systems don’t just analyze data — they observe, decide, and act in the real world. As these systems move into our homes, cities, and care environments, open standards for interoperability, governability, and accountability become essential. This post introduces OAII’s advocacy series explaining why open, object-oriented models are the foundation of trustworthy, human-centered autonomy.

Purpose EdgePERSensor defines the minimal OAII-conformant Sensor subclass required for edge-primary Personal Event Recognition (PER) for aging in place. EdgePERSensor is designed to: EdgePERSensor is intentionally minimal and does not prescribe sensor technologies (PIR, mmWave, contact reed switch, camera, microphone, etc.). Scope and Non-Goals In Scope Out of Scope Role in the Open SGI MVM…

EdgePERDevice defines the minimal OAII-conformant Device subclass required to support edge-primary Personal Event Recognition (PER) for aging in place.