Open Autonomous intelligence initiative
OAII is advancing a unified approach to building autonomous intelligent systems by integrating the Polarity Modeling Framework (PMF) as a foundational structural layer. This integration separates operational components from the underlying structure that defines state, context, and transformation, enabling systems that are more coherent, interoperable, and transparent. It establishes a practical path toward standardization and certification of autonomous intelligence. Read the OAII Concepts post
The Polarity Modeling Framework (PMF) Papers 1-9 are available for review. Download the Paper 1-9 Abstracts, Read the first post, or download the White Paper PDF
OAII Strategy: From Conceptual Foundations to Edge-Based Demonstration A four-step plan for advancing the Polarity Modeling Framework from concept to implementation, including outreach, system design, and a Minimum Viable Model.
How to review the OAII Base Model
Introducing the Personal Event Recognition model
Open Autonomous Intelligence Initiative
Open object-oriented models for accountable AuI
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OAII Base Model — Agent v0.1
The Agent object represents an autonomous or semi-autonomous actor that reasons over Events and Knowledge within a World and produces outputs or actions subject to Policy constraints. Agents are the locus of decision-making and response, but not the locus of governance. In the OAII Base Model, Agents are explicitly constrained by Policies to ensure ethical…
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OAII Base Model — Policy v0.1
The Policy object represents an explicit, inspectable, and enforceable set of constraints and decision rules governing how a system responds to Events and uses Knowledge within a World. Policies provide the primary mechanism for ethical transparency, accountability, and privacy enforcement in edge‑primary autonomous systems. Policies are not hidden heuristics; they are first-class objects subject to…
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Events, Not Surveillance: A Privacy-First Architecture for Aging-in-Place
Aging-in-place technologies often fail for a simple reason: they confuse awareness with surveillance. Many systems assume that safety requires continuous monitoring — cameras always on, microphones always listening, data always streaming. This assumption is both technically unnecessary and ethically unsound. The OAII Base Model takes a different position: Safety emerges from meaningful events, not from…
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OAII Base Model — Knowledge v0.1
The Knowledge object represents structured, retained, and interpretable information derived from Signals, Events, and Sensor Knowledge within a World. Knowledge enables continuity, learning, and comparison over time without collapsing into continuous surveillance or opaque global models. In the OAII Base Model, Knowledge is explicit, scoped, revisable, and accountable.
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OAII Base Model — Device v0.1
The Device object represents a physical or virtual computing substrate that hosts Sensors, performs local processing, and participates in one or more Worlds. Devices are responsible for execution, containment, and lifecycle control, not interpretation. In the OAII Base Model, Devices are the anchor point for edge‑primary autonomy, power management, and trust boundaries.
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Why Aging-in-Place Demands Open, Object-Oriented AI Models
Aging‑in‑place is often framed as a problem of sensors, alerts, or caregiver dashboards. That framing is incomplete — and, in many cases, dangerous. Aging‑in‑place is fundamentally a problem of interpretation under constraint: interpretation of human activity without surveillance, interpretation of change without diagnosis, interpretation of risk without stripping dignity or autonomy. These constraints are not…
Open Autonomous Intelligence Initiative 