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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OAI² Core Class Model
The OAI² Core Class Model and its application in the Minimal Viable Model (MVM) for Personal Event Recognition are designed to demonstrate the conceptual feasibility of creating object-oriented AI models. This effort is a starting point to explore how open, extensible, and standardized architectures can support the incremental development of autonomous intelligence capabilities, eventually simulating…
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Story Idea: A Vision for Open AI Standards with Global Stakes
I have begun my advocacy outreach by sending this story idea to NPR News: I’m reaching out to share a compelling story at the intersection of innovation, ethics, and global policy: my Open Autonomous Intelligence Initiative (OAI²). OAI² is a nonprofit that advocates for open, standard, object-oriented AI models—frameworks that allow different AI technologies to…
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Conceptual Mind Model
It is entirely possible for all control of an AI system to reside within Mind classes, with no separate applications beyond the underlying operating system (OS). This approach would align the system with a more autonomous architecture, where the Mind operates as a self-contained entity that handles all event recognition, decision-making, and interaction with devices.…
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Future of Life Institute Open Letter Proposal
Dear Members of the AI Community and Interested Stakeholders, As we stand at the crossroads of technological advancement and its impact on society, the need for open, transparent, scalable, and adaptable autonomous intelligence (AI) systems has never been more critical. The rapid evolution of AI technologies has brought immense possibilities alongside significant ethical, societal, operational,…
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Base Classes for Event Recognition
The previous two posts provided high-level examples of object-oriented AI models. This post is very long, so it will take about 30 minutes to read. It provides a more detailed summary of the model example base classes.
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Examples of Open Autonomous Intelligence Models
It’s likely that not all members of my target audience, the NIST AISIC (Artificial Intelligence Standards and Innovation Committee) possess a deep understanding of what is involved in creating open-standard AI models, especially if their background or primary expertise isn’t closely tied to AI development or standardization processes. Providing a concrete example of an open-standard…
Open Autonomous Intelligence Initiative 