GLOSSARY

An international standard establishing foundational terminology and core conceptual models across artificial intelligence systems and applications.

A standardized vocabulary reduces ambiguity across multidisciplinary teams, contracts, regulatory submissions, and governance frameworks when defining AI capabilities and responsibilities.

An enterprise aligns its AI policy, compliance documentation, and model inventory with ISO/IEC 22989 terms to ensure shared definitions between legal, data science, and engineering teams.

Establishing standardized definitions does not prescribe operational controls, compliance mechanisms, or system architecture guarantees.

The standard provides foundational taxonomy and definitions covering AI systems, machine learning lifecycles, data processing, neural networks, autonomy, and trustworthy characteristics. It establishes a formal conceptual framework that connects technical system components with governance, risk, and human oversight.