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Find out what cookies we use and how to disable themThis document provides terminology and concepts of domain engineering of AI systems. This document is intended for use by organizations developing, providing or using AI systems, regardless of the organisations’ size, type or sector.
The project will provide terminology and concepts supporting domain engineering. Terms and concepts
defined in this document can be extended and further refined and complemented to fit sectorial needs.
The term “domain” is used in many standards and in many different forms (“context”, “environment” …)
leading to a risk of confusion. Examples of such terms are:
• Intended use,
• intended domain of use,
• data domain,
• operational domain,
• validation domain,
• context of use,
• operating conditions,
• design envelope,
• …
Providing terminology for “domain” would be valuable for organizations wishing to establish an AI
system’s design envelope in the context of relevant characteristics (e.g., robustness) or approaches (e.
g., system safety engineering, impact assessment) and be able to clearly communicate this to other
interested parties.
Some terms in some SC 42 documents are used without clear definitions, or with not necessarily the
same meaning across different documents (e.g., domain), or that different terms can be used with the
same meaning (e.g., intended use, intended domain of use, context of use…). Clarification and
disambiguation of terms and concepts are, therefore, needed.
In addition, horizontal relevance of new terms coming from verticals can be considered.
Clarification and disambiguation of terms related to domain can support regulatory needs on
robustness, data governance, accuracy, human oversight, transparency, risk management and can
support the development of product-oriented conformity assessment standards.
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