TS EN ISO/IEC 22989

TS EN ISO/IEC 22989 is a vocabulary standard for artificial intelligence concepts and terminology. It provides a common semantic framework for AI-related terms, helping technical documents, standards work, and communication among different stakeholders stay consistent. Artificial intelligence is a broad technical field covering systems that perform tasks associated with human-like intelligence, such as learning, inference, perception, and decision support, using data and computational models.

Why AI terminology matters

Terms in this field are often closely related but technically distinct. For example, machine learning is a subfield of AI that focuses on methods that learn patterns from data, while deep learning is a more specific approach based on multilayer neural networks. Likewise, terms such as model, algorithm, dataset, inference, and validation refer to different technical layers. A vocabulary standard helps keep these distinctions clear and used consistently.

What this standard is used for

Based on the supplied scope, this document establishes terminology for AI and describes concepts in the AI field. It can also be used in the development of other standards and to support communication among diverse interested parties. Because it is applicable to all types of organizations, it is relevant not only to technology companies but also to public bodies, commercial enterprises, and non-profit organizations.

• Provides a shared and cross-disciplinary language for AI terms.
• Supports conceptual consistency in standards development.
• Helps reduce misunderstanding between stakeholders in different sectors.
• Offers a general terminology framework usable across organization types.