Artificial Intelligence

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AI trustworthiness framework – Part 5: Robustness (prEN 18229-5)

This document provides terminology, concepts, requirements, and guidance for robustness of AI systems. It is primarily intended for organizations placing on the market or putting into service AI systems and is not specific to any particular sector

AI trustworthiness framework – Part 4: Accuracy (prEN 18229-4)

This document provides terminology, concepts, requirements, and guidance for accuracy of AI systems. It is primarily intended for organizations placing on the market or putting into service AI systems and is not specific to any particular sector

AI trustworthiness framework – Part 3: Human Oversight (prEN 18229-3)

This document provides terminology, concepts, requirements, and guidance for humanoversight of AI systems. It is primarily intended for organizations placing on the market or putting into service AI systems and is not specific to any particular sector;

AI trustworthiness framework – Part 2: Transparency (prEN 18229-2)

This document provides terminology, concepts, requirements, and guidance for transparency of AI systems. It is primarily intended for organizations placing on the market or putting into service AI systems and is not specific to any particular sector

prEN 18283 AI Concepts, measures and requirements for managing bias in AI systems (CEN/CENELEC JTC21)

This document defines concepts, measures and requirements for assessment and treatment of bias in AI systems. This includes bias unwanted by the AI Provider and AI Deployer according to their specification of the AI system, in the context of the AI Act. This encompasses consideration of data bias including any data used to build or assess the AI system, but also system or model bias that can result from algorithmic factors, such as algorithm design choices.

prEN 18228 AI Risk Management (CEN/CENELEC JTC21 )

This document specifies requirements and provides guidance for risk management of AI systems. It specifies terminology, principles and a process for risk management. The process described in this document intends to assist providers of AI systems to identify the hazards associated with the AI systems, to estimate and evaluate the associated risks, to control these risks, and to monitor the effectiveness of the controls. The process described in this document applies to risks to health, safety and fundamental rights associated with an AI system. The process described in this document is applied throughout the life cycle of the AI system. This document requires providers to establish objective criteria for risk acceptability but does not specify acceptable risk levels. This document is intended for use by organizations providing AI systems, regardless of their size, nature or location. This document is not intended for managing risk faced by organizations. This document is intended to support the organization in meeting applicable regulatory requirements.

prCEN/CLC/TR 18347 Overview and architecture of standards in support of the EU AI Act

This document aims to inform organizations for the application of the harmonised standards in support of the AI Act. This document provides information on the harmonised standards developed by CEN-CENELEC Joint Technical Committee 21, in response to the standardization request by the European Commission (C(2025) 3871). This includes the relationship of the harmonised standards to each other and the AI Act and provides an overview of key terms and definitions and related concepts. This document is informative and does not contain guidance or requirements. The document will not lead to presumption of conformity. This document will reference European Commission guidelines where appropriate. This document is aimed at all types of organisations providing high-risk AI systems and who are likely to use the harmonised standards when placing products or services on the EU market.

CEN/CENELEC JTC 21 Artificial Intelligence WG1 Strategic Advisory Group

The SAG is a working group reporting to JTC 21. The scope of SAG is to support JTC 21 in exploring ways and means for supporting the implementation of the trustworthy Digital Single Market in terms of AI aspects with European standardization deliverables (standards, technical reports etc.).