Comply · Global standards & industry frameworks
OECD AI Principles
The intergovernmental principles for trustworthy AI.
The OECD AI Principles are the first intergovernmental standard on AI, adopted by dozens of countries. They promote AI that is innovative and trustworthy through values-based principles — inclusive growth, human-centered values and fairness, transparency and explainability, robustness and safety, and accountability — and inform many national AI policies.
Who it applies to
Governments and organizations worldwide as a foundational reference; not directly enforceable.
Key obligations
- Pursue inclusive growth and well-being
- Respect human-centered values and fairness
- Provide transparency and explainability
- Ensure robustness, security, and safety
- Uphold accountability for AI outcomes
How Maetra maps agents to OECD AI
Maetra turns the OECD principles into operational controls and evidence, giving organizations a concrete way to show trustworthy-AI practices.
In practice, Maetra:
- Scans and fingerprints each agent. Discover reads the agent’s code — its tools, data access and sensitivity, actions, model, and environment — into an evidence-backed profile tied to the exact file and commit.
- Decides what applies. That profile determines whether OECD AI is in scope for the agent and which of its requirements apply.
- Auto-detects controls and surfaces gaps. Controls your code already satisfies are detected automatically from the scan; the rest become a clear list of gaps, each tied to the requirement and the evidence it still needs.
- Proves it and keeps it current. Close gaps with linked evidence or generated documents — reused across every framework the same control supports — and Maetra re-checks on each rescan and flags evidence that has gone stale.
Related frameworks
Prove OECD AI compliance with Maetra
Classify your AI agents once and Maetra maps them to OECD AI and every other framework it supports — generating the evidence and documentation, tracking gaps and deadlines, and sealing every decision in an immutable audit trail.