---
title: "AI system lifecycle (OECD)"
description: "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."
canonical: https://aigovernanceengineer.com/glossary/ai-system-lifecycle-oecd
author: "Jorge García Aibar"
license: "CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)"
doi: https://doi.org/10.5281/zenodo.22956197
version: "0.5.0"
updated: 2026-09-24
---

# AI system lifecycle (OECD)

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](https://aigovernanceengineer.com/bok/principles-and-standards#the-oecd-ai-system-definition-and-lifecycle)
- Chapters: [ch. 22, Principles & Standards](https://aigovernanceengineer.com/bok/principles-and-standards)
- In the glossary chapter: https://aigovernanceengineer.com/bok/glossary#t-ai-system-lifecycle-oecd

## Sources

[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)