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OECD Framework for the Classification of AI Systems

By Updated

An OECD tool (2022) for characterising an AI system from a policy perspective along five dimensions: People & Planet, Economic Context, Data & Input, AI Model, and Task & Output 1. In engineering practice its dimensions become groups of registry fields that route controls.

Developed in
ch. 22, The Framework for the Classification of AI Systems
Chapters
ch. 22, Principles & Standards
Source
1 numbered reference, listed below

Where it is used

The term is not used under this name in running prose; the sections listed under "Developed in" treat it.

  • AI system

    For governance, the object the AI definition brings into scope.

Sources

  1. [1] OECD Framework for the Classification of AI Systems (OECD Digital Economy Papers No. 323; People & Planet, Economic Context, Data & Input, AI Model, Task & Output). OECD. 2022-02-22. https://doi.org/10.1787/cb6d9eca-en (verified: primary)

Definitions of legal terms paraphrase the cited text, which governs. Dated statements are as of .

Cite this term

García Aibar, J. (2026). OECD Framework for the Classification of AI Systems. In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0), Glossary. https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/glossary/oecd-framework-for-the-classification-of-ai-systems. CC BY 4.0

BibTeX

@misc{aige2026oecdframeworkfortheclassificationofaisystems,
  author  = {Jorge García Aibar},
  title   = {{OECD Framework for the Classification of AI Systems}},
  note    = {Glossary, AI Governance Engineering: The Thesis \& Body of Knowledge, version 0.5.0},
  year    = {2026},
  doi     = {10.5281/zenodo.22956197},
  url     = {https://aigovernanceengineer.com/glossary/oecd-framework-for-the-classification-of-ai-systems}
}