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prEN ISO/IEC 25029 Public enquiry
Comment end date 2026-08-21
Artificial intelligence - AI-enhanced nudging (ISO/IEC DIS 25029:2026)

This standard applies to nudging mechanisms enhanced by AI systems. This document provides definitions, concepts, and guidelines to address AI-enhanced nudging mechanisms by organisations. This standard aims to support organisations to deal with AI-enhanced nudging mechanisms in alignment with existing AI standards. “AI-enhanced nudging mechanisms” are a sub category of digital nudges and which are enhanced by AI systems. It provides use-cases to illustrate AI-enhanced nudging mechanisms. It provides guidelines and requirements for designing responsible AI-enhanced nudging mechanisms. This includes horizontal processes and key indicators using specific vertical examples.

prEN ISO/IEC 42102 Public enquiry
Comment end date 2026-08-21
Information technology - Artificial intelligence - Framework for characterizing AI system methods and capabilities (ISO/IEC DIS 42102:2026)

This document provides a framework of descriptors to support the consistent characterization of AI system methods and capabilities. The framework helps AI stakeholders describe AI systems and have a common understanding of them. This document applies to all types of organizations involved in any of the lifecycle stages of AI systems as well as to any AI stakeholder roles

ISO/DIS 20228 Public enquiry
Comment end date 2026-08-13
Interpreting services — Legal interpreting — Requirements
prEN 18229-1 Public enquiry
Comment end date 2026-08-02
AI trustworthiness framework - Part 1: Logging

This document provides terminology, concepts, requirements, and guidance for logging 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 ISO/IEC 19788-3 Public enquiry
Comment end date 2026-07-28
Information technology for learning, education and training - Metadata for learning resources - Part 3: Basic application profile (ISO/DIS 19788-3:2026)

The primary purpose of ISO/IEC 19788 is to specify metadata elements and their attributes for the description of learning resources. This includes the rules governing the identification of data elements and the specification of their attributes. ISO/IEC 19788 provides data elements for the description of learning resources and resources directly related to learning resources. ISO/IEC 19788-3:2011 is designed to help implementers with a starting point for adopting ISO/IEC 19788, defining an application profile that specifies, through adding constraints to the use of some data elements, how the ISO/IEC 19788-2 element set can be used.

prEN 18282 Public enquiry
Comment end date 2026-07-14
Artificial intelligence - Cybersecurity specifications for AI Systems

This document addresses organizational and technical solutions aimed at ensuring the cybersecurity of high-risk AI systems over the life cycle, appropriate to the relevant circumstances and the risks. The technical solutions to address AI-specific vulnerabilities include, where appropriate, measures to prevent, detect, respond to, resolve and control for attacks trying to manipulate the training dataset (data poisoning), or pre-trained components used in training (model poisoning), inputs designed to cause the model to make a mistake (adversarial examples or model evasion), confidentiality attacks or model flaws. This document provides objective criteria to enable decisions on whether a given technical or organizational solution adequately achieves a given vulnerability-related goal.

prEN 18228 Public enquiry
Comment end date 2026-07-14
AI Risk Management

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.

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