TS ISO/IEC 2382-31

TS ISO/IEC 2382-31 is a vocabulary standard within information technology dedicated to artificial intelligence, with a specific focus on machine learning. It defines selected concepts and shows relationships among the entries, helping users apply a consistent technical language across different contexts and languages.

How the machine learning terminology is organised

In general technical use, machine learning refers to methods that derive patterns from data and build models without every rule being explicitly programmed. A vocabulary standard of this kind does not prescribe an algorithm or performance requirement; it clarifies the shared terminology instead. That makes distinctions between terms such as learning process, model, and related conceptual categories especially important.

Why this vocabulary matters in practice

• It reduces ambiguity when translating and drafting technical documentation.
• It supports a common terminology for AI, data processing, and software teams.
• It helps organise concepts by showing relationships between entries.
• It provides a stable reference language for education and standardisation work.

This TSE edition is based on ISO/IEC 2382-31 and is a vocabulary section by document type. Its scope is limited to defining concepts related to machine learning, so it should not be read as a source of test methods, numerical limits, or compliance rules in its own right.

The standard’s value lies in terminology management: it supports international communication and makes it easier to express AI concepts in a language-neutral way. In a field where terms can shift quickly, that kind of structured vocabulary helps keep meanings clear and technically consistent.