Defining the objects, policies, and boundaries that make autonomy governable
Advocates for Open, ethical AI Models

Trustworthy autonomous intelligence begins with explicit event modeling. This post presents a canonical OAII Personal Event Recognition event list for aging in place, showing how meaningful in-home events can be detected, governed, and reviewed without diagnosis, scoring, or hidden judgment. By enumerating events, policies, and boundaries up front, OAII demonstrates how autonomy can remain transparent,…

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.