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OECD AI Principles

By Updated

The five values-based principles (inclusive growth and well-being; human rights, fairness and privacy; transparency and explainability; robustness, security and safety; accountability) and five policy recommendations of the OECD Recommendation on AI, adopted in 2019 and revised in 2024 1. A commitment by adhering governments, not a binding rule for companies.

Developed in
ch. 22, OECD AI Principles
Chapters
ch. 11, AI Defined · ch. 22, Principles & Standards
Source
1 numbered reference, listed below

Where it is used

4 chapters of the Body of Knowledge use the term. Each link opens the first section that does.

  • Responsible-AI principle set

    A published set of normative targets for AI, such as the OECD AI Principles, the UNESCO Recommendation, the HLEG requirements or the G7 Hiroshima principles.

  • Explainability

    In NIST's framing, a representation of the mechanisms behind a system's operation: how a decision was made.

  • Transparency

    In NIST's framing, how far information about an AI system and its outputs reaches the people who interact with it: what happened.

  • Fairness

    The property that a system's outcomes and errors do not unjustifiably disadvantage people or groups.

Sources

  1. [1] Recommendation of the Council on Artificial Intelligence, OECD/LEGAL/0449 (adopted 22 May 2019; AI-system definition revised 8 Nov 2023; revised 3 May 2024; five principles and five recommendations; 1.3 enables people adversely affected to challenge an output; definitions of AI system, lifecycle and AI actors). OECD. 2024-05-03. https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449 (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 AI Principles. 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-ai-principles. CC BY 4.0

BibTeX

@misc{aige2026oecdaiprinciples,
  author  = {Jorge García Aibar},
  title   = {{OECD AI Principles}},
  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-ai-principles}
}