Digital Lexicon Hub

An international standard defining the stages and associated actions of the data lifecycle for artificial intelligence applications.

Clear data lifecycle stages ensure data lineage, IP provenance, privacy compliance, and defensible audit trails throughout AI training and fine-tuning pipelines.

An enterprise data team maps its AI pipeline to the ISO/IEC 8183 stages to enforce role-based access, retention policies, and cryptographic provenance from data ingestion to model deprecation.

A lifecycle framework outlines process stages and transitions, but relies on organizational enforcement and integrated technical tooling to prevent data drift or compliance lapses.

ISO/IEC 8183 provides a data life cycle framework for AI development. It defines the stages of data processing across the AI system life cycle, from acquisition and creation through development, deployment and maintenance to decommissioning, and identifies the actions associated with each stage. It does not define specific services, platforms or tools.