TS ISO/IEC 2382-31

TS ISO/IEC 2382-31 is a vocabulary part within information technology terminology that organizes selected concepts, their definitions, and the relationships among the entries for artificial intelligence, with a particular focus on machine learning. It is a terminological reference intended to support consistent technical communication across languages; it explains what the concepts mean rather than prescribing how systems must be built or operated.

The role of machine learning terminology

Machine learning is commonly understood as a branch of artificial intelligence in which systems learn patterns from data instead of relying only on explicitly programmed rules. In technical practice, the subject spans ideas such as training, models, data sets, features, generalization, and classification. A vocabulary standard like this helps distinguish those concepts clearly and gives practitioners, translators, and technical writers a stable reference for using the same terms consistently.

What this part covers

• Selected terms and definitions in information technology
• Relationships among entries relevant to artificial intelligence
• Core concepts associated with machine learning
• Definitions drafted to be easier to translate into other languages

As a vocabulary standard, this document provides conceptual guidance rather than mandatory technical requirements, test methods, or implementation rules. Its value lies in terminology alignment: it helps readers map related AI and machine-learning concepts into a common structure. As part of the ISO/IEC 2382 series, it fits into a broader framework of information technology vocabulary.