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The Open Autonomous Intelligence Initiative (OAIi) is an independent, standards‑oriented effort focused on advocating for open, object‑oriented models for autonomous intelligence systems that are ethical by construction, interoperable by design, and practical at the edge.

OAII is a single member LLC whose purpose is to advocate for clear, reviewable architectural foundations that others can implement, critique, extend, or challenge.

Current work centers on two tightly connected efforts,

1. The OAII Base Model — an open, object‑oriented reference model for autonomous intelligence systems.
2. A reference implementation: Edge-primary Event Recognition Classes and applications for Aging‑in‑Place.

The OAII Base Model defines a small set of classes:

• The Device class represents a physical or virtual computing substrate that hosts Sensors and performs local processing.
• The Sensor class represents a source of observable data. Sensors produce Signals by observing some aspect of the environment.
• The Signal class represents a unit of observation produced by a Sensor
• The Event class represents a semantically meaningful occurrence recognized within a World. It is the primary unit of interpretation for autonomy,
• The Knowledge class represents structured, retained, and interpretable information derived from Signals and Events.
• The Policy class represents an explicit, inspectable, and enforceable set of constraints and decision rules governing how a system responds to Events and uses Knowledge
• The Agent class represents an autonomous or semi-autonomous actor that reasons over Events and Knowledge and produces outputs or actions subject to Policy constraints.
• The Interface class represents a controlled interaction surface through which Agents and systems communicate with humans or other systems.
• The Log class provides an explicit, structured, and privacy-aware record of system activity

The Base Model is normative at the object level and non‑normative at the implementation level.

Aging‑in‑place is not the only domain OAII cares about — but it is an unusually strong stress test. Systems in the home must:

• respect privacy and dignity,
• operate under uncertainty,
• explain themselves,
• degrade gracefully,
• and avoid both false alarms and silent failure.

The reference implementation of the OAII base model are the edge-primary Event Recognition Classes for Aging‑in‑Place that:

• runs locally on edge hardware,
• uses a minimal sensor set (BLE tag and USB microphone),
• recognizes events by comparison to local knowledge,

I am currently reaching out to individuals with a background in:

• systems architecture
• AI/ML engineering
• edge computing or IoT
• safety, governance, or ethics
• standards development

I am asking for 2–5 hours of your time to:

1. Review the OAII Base Model documents
2. Examine the Aging‑in‑Place class profile
3. Provide written comments, critiques, or questions

If you are interested in reviewing the Base Model and the reference implementation classes, or if you’d like to suggest others who should be involved, email me at randall@oaisq.org.

How to Review the OAII Base Model and Reference Implementation