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AI system lifecycle (OECD)

By Updated

The OECD's iterative phases of an AI system: plan and design; collect and process data; build or adapt models; test, evaluate, verify and validate; deploy; operate and monitor; retire or decommission 1. Retirement can happen at any point during operation.

Developed in
ch. 22, The OECD AI system definition and lifecycle
Chapters
ch. 22, Principles & Standards
Source
1 numbered reference, listed below

Where it is used

One chapter of the Body of Knowledge uses the term. Each link opens the first section that does.

  • AI system

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

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). AI system lifecycle (OECD). In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0), Glossary. https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/glossary/ai-system-lifecycle-oecd. CC BY 4.0

BibTeX

@misc{aige2026aisystemlifecycleoecd,
  author  = {Jorge García Aibar},
  title   = {{AI system lifecycle (OECD)}},
  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/ai-system-lifecycle-oecd}
}