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ISO/IEC 22989

By Updated

The ISO/IEC standard (2022) that establishes AI concepts and terminology for use by other standards and by diverse stakeholders 1. Naming registry fields after its vocabulary reduces translation when auditing against the SC 42 family.

Developed in
ch. 22, Foundations and vocabulary
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.

  • Machine learning

    The branch of AI in which a system improves at a task by learning patterns from data rather than by following rules people wrote.

  • Autonomy

    In the EU AI Act and OECD texts, some degree of independence of action from human involvement, which almost every AI system has.

Sources

  1. [1] ISO/IEC 22989:2022, Artificial intelligence concepts and terminology (referenced by identifier only; autonomy and heteronomy; clause 5.11 machine learning approaches: supervised, unsupervised, semi-supervised, reinforcement). ISO/IEC. 2022-07. https://www.iso.org/standard/74296.html (verified: secondary)

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

Cite this term

García Aibar, J. (2026). ISO/IEC 22989. In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0), Glossary. https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/glossary/iso-iec-22989. CC BY 4.0

BibTeX

@misc{aige2026isoiec22989,
  author  = {Jorge García Aibar},
  title   = {{ISO/IEC 22989}},
  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/iso-iec-22989}
}