Glossary · AI engineering and governance
AI management system (AIMS)
Also known as: AIMS, ISO/IEC 42001 management system
German: KI-Managementsystem
An AI management system (AIMS) is the set of interrelated policies, objectives, processes and controls an organization establishes to develop, provide or use AI systems responsibly, including risk and impact assessment, lifecycle controls and continual improvement. ISO/IEC 42001 specifies requirements for such a system and allows certification.
- Industrial AI
- AI
- Standards
In one sentence
An AI management system is the set of policies, processes and controls for responsible AI, with requirements specified in ISO/IEC 42001.
Example
A supplier of AI-based inspection systems sets up an AIMS to ISO/IEC 42001, integrated with its existing ISO 9001 quality management system.
How it applies
- Engineering: An AIMS defines how AI projects handle requirements, data, validation, deployment and monitoring. It follows the harmonized structure of ISO management system standards, so it can be integrated with quality and information security management.
- Compliance: An AIMS can help organize evidence for regulatory obligations, but certification to ISO/IEC 42001 is not the same as conformity with the EU AI Act.
- Documentation: The AIMS requires documented policies, risk assessments, impact assessments and records. Product-related parts, such as intended purpose and limitations, feed into user documentation.
AI management system vs. quality management system
A quality management system such as ISO 9001 covers products and processes in general. An AIMS addresses risks specific to AI, such as data quality, bias, transparency and drift. Organizations often run both as one integrated system.