AI Governance Engineer
GitHub

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.

OECD AI Principles: mentions per chapter11 mentions of the term across 4 of the 23 chapters of the Body of Knowledge; the chapters the glossary cross-references are drawn solid.Cross-referenced chapterOther chapter03 Values & Principles: 1 mention03 Values & Principles108 Regulatory Map: 3 mentions08 Regulatory Map311 AI Defined: 2 mentions11 AI Defined222 Principles & Standards: 5 mentions22 Principles & Standards5No mentions in the other 19 chaptersSource: the Body of Knowledgev0.5.0
OECD AI Principles: mentions per chapter11 mentions of the term across 4 of the 23 chapters of the Body of Knowledge; the chapters the glossary cross-references are drawn solid.Cross-referenced chapterOther chapter00010203 Values & Principles: 1 mention1030405060708 Regulatory Map: 3 mentions3081011 AI Defined: 2 mentions2111213141516171819202122 Principles & Standards: 5 mentions52223Source: the Body of Knowledge v0.5.0
Mentions per chapter How often each chapter names the term, with the chapters the glossary cross-references drawn solid. The longest bar is where to read the term in use; bars spread across many chapters mark a term that runs through the discipline.
Mentions as a table
Mentions of OECD AI Principles per chapter
ChapterMentionsCross-referenced
00 Preface0No
01 Definition0No
02 Why Now0No
03 Values & Principles1No
04 The Stack0No
05 Patterns0No
06 The Role0No
07 Maturity Model0No
08 Regulatory Map3No
10 Reading List0No
11 AI Defined2Yes
12 Governance Program0No
13 Risk Management0No
14 Development0No
15 Deployment0No
16 Fairness & XAI0No
17 Incidents0No
18 EU AI Act0No
19 Privacy & AI0No
20 Existing Law0No
21 AI Laws Worldwide0No
22 Principles & Standards5Yes
23 AI Agents0No
OECD AI Principles: related terms and patternsThe term at the centre; related terms on solid edges, the terms it is contrasted with on dashed edges, and the patterns that use it most in the colour of their layer.RelatedOECD AI PrinciplesRelated terms (4)Explainability · RelatedExplainabilityFairness · RelatedFairnessResponsible-AI principle set · RelatedResponsible-AI principle setTransparency · RelatedTransparency
OECD AI Principles: related terms and patternsThe term at the centre; related terms on solid edges, the terms it is contrasted with on dashed edges, and the patterns that use it most in the colour of their layer.RelatedRelated terms (4)Explainability · RelatedExplainabilityFairness · RelatedFairnessResponsible-AI principle set · RelatedResponsible-AI principle setTransparency · RelatedTransparencyOECD AIPrinciples
The term's neighbourhood Terms related to this one on solid edges, terms it is often confused with on dashed edges, and the patterns that use it most in the colour of their layer. Follow a dashed edge to check the distinction before you use either term.
Neighbourhood as a table
Neighbourhood of OECD AI Principles
FamilyItemRelation
Related termsExplainabilityRelated
Related termsFairnessRelated
Related termsResponsible-AI principle setRelated
Related termsTransparencyRelated
  • 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}
}