ISO/IEC 8183:2023 Information technology - Artificial intelligence - Data life cycle framework
- Publisher: ISO
- Status:
final - Version:
1 - Certifiable: False
- Release Date:
2023-07 - Date Added:
2025-11-25 - Source URL: https://www.iso.org/standard/83002.html
Summary
This standard defines a unified life-cycle structure for data used in AI systems, describing each stage and the actions associated with it. It helps organizations plan, manage, and govern data consistently across development, deployment, and operation. The framework is intentionally high-level and tool-independent, making it broadly applicable.
Key Takeaways
- Provides a unified structure for describing how data moves through AI systems, enabling teams to use a shared model when planning and managing data activities
- Clarifies the distinct purpose of each life-cycle stage
- Supports consistent documentation and communication by giving organizations a common reference for describing data processes across projects
- Helps identify dependencies and touchpoints between stages
- Establishes a technology-neutral framework that organizations can adapt to different system types, development approaches, and regulatory environments.
- Serves as a foundational reference for other AI data-related standards
Additional Sources
- AI Standards Hub
- ISO/IEC 8283:2023 A standard for AI system life cycles — overview of the standard
Tags
data, governance, lifecycle, data-quality, management