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Welcome to the AI Operational Governance Framework (AI‑OGF).
This page provides an introduction to the framework, how to navigate it, and how to participate responsibly.
1. Purpose of AI‑OGF
AI‑OGF is a standards‑aligned governance model designed to ensure that AI systems operate safely, predictably, and within defined organizational boundaries.
It provides:
- Operational guardrails
- Drift and recursion controls
- Workflow depth limits
- Cross‑AI interaction boundaries
- Kill‑switch and rollback architecture
- A supplement system for implementation
2. Navigating the Framework
Core Framework
Foundational documents including the Front Matter.
➡️ View Core Framework
Supplements
Implementation guidance for each control area.
➡️ View Supplements
Annexes
Technical references and extended models.
➡️ View Annexes
Diagrams
Visual models supporting the framework.
➡️ View Diagrams
3. Permitted Use
You may:
- Read and reference the framework
- Use it internally within your organization
- Cite it in research or analysis
- Link to this repository or the published site
You must request permission for:
- Redistribution
- Commercial use
- Derivative works
- Training AI models on this content
- Incorporating this framework into another standard or product
See:
4. Contributing
Contributions are welcome through pull requests.
All contributors must:
- Provide their name and background
- Confirm originality of contributions
- Agree to the licensing terms
- Follow the structure and template guidelines
See:
5. Contact
Contributions are welcome through pull requests.
All contributors must:
- Provide their name and background
- Confirm originality of contributions
- Agree to the licensing terms
- Follow the structure and template guidelines
For contribution‑related questions or submissions, please use the link below:
Disclaimer
The AI‑OGF framework is provided for informational and educational purposes only. It does not constitute legal, regulatory, compliance, or professional advice. All use of this framework is at the user’s own risk. No warranty of any kind is provided, and the author assumes no responsibility for any outcomes resulting from its use. Organizations remain fully responsible for their own governance, risk, compliance, and implementation decisions.