Standards List

Last modified on 3 July, 2026

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Developing Organisation	Standard ID	Version	Name	Scope	Publication Date	Status	Technology Domain	Link
IEC, ISO	23894	Ed. 1	Information technology — Artificial intelligence — Guidance on risk management	This document provides guidance on how organizations that develop, produce, deploy or use products, systems and services that utilize artificial intelligence (AI) can manage risk specifically related to AI. The guidance also aims to assist organizations to integrate risk management into their AI-related activities and functions. It moreover describes processes for the effective implementation and integration of AI risk management. The application of this guidance can be customized to any organization and its context.	2023-02-01	Published	Artificial Intelligence	Link
IEC, ISO	42001	Ed. 1	Information technology — Artificial intelligence — Management system	This document specifies the requirements and provides guidance for establishing, implementing, maintaining and continually improving an AI (artificial intelligence) management system within the context of an organization. This document is intended for use by an organization providing or using products or services that utilize AI systems. This document is intended to help the organization develop, provide or use AI systems responsibly in pursuing its objectives and meet applicable requirements, obligations related to interested parties and expectations from them. This document is applicable to any organization, regardless of size, type and nature, that provides or uses products or services that utilize AI systems.	2023-12-01	Published	Artificial Intelligence, Management/ Engineering Standards	Link
IEC, ISO	TS 6254	Ed. 1	Information technology — Artificial intelligence — Objectives and approaches for explainability of ML models and AI systems	This document describes approaches and methods that can be used to achieve explainability objectives of stakeholders with regards to ML models and AI systems‘ behaviours, outputs, and results. Stakeholders include but are not limited to, academia, industry, policy makers, and end users. It provides guidance concerning the applicability of the described approaches and methods to the identified objectives throughout the AI system’s life cycle, as defined in ISO/IEC 22989.	2025-09-01	Published	Artificial Intelligence	Link
IEC, ISO	TR 24368	Ed. 1	Information technology — Artificial intelligence — Overview of ethical and societal concerns	This document provides a high-level overview of AI ethical and societal concerns. In addition, this document: — provides information in relation to principles, processes and methods in this area; — is intended for technologists, regulators, interest groups, and society at large; — is not intended to advocate for any specific set of values (value systems). This document includes an overview of International Standards that address issues arising from AI ethical and societal concerns.	2022-08-01	Published	Artificial Intelligence, Ethics	Link
IEC, ISO	TR 17903		Information technology — Artificial intelligence — Overview of machine learning computing devices	This document surveys machine learning (ML) computing devices, including the following: — ML computing device terminology and characteristics; — existing approaches to the setting and use of characteristics for optimizing ML computing device performance. The information provided in this document is relevant for organizations of all types and sizes		Under Development	Artificial Intelligence	Link
IEC, ISO	TR 24028	Ed. 1	Information technology — Artificial intelligence — Overview of trustworthiness in artificial intelligence	This document surveys topics related to trustworthiness in AI systems, including the following: — approaches to establish trust in AI systems through transparency, explainability, controllability, etc.; — engineering pitfalls and typical associated threats and risks to AI systems, along with possible mitigation techniques and methods; and — approaches to assess and achieve availability, resiliency, reliability, accuracy, safety, security and privacy of AI systems. The specification of levels of trustworthiness for AI systems is out of the scope of this document.	2020-05-01	Published	Artificial Intelligence	Link
IEC, ISO	12792	Ed. 1	Information technology — Artificial intelligence — Transparency taxonomy of AI systems	This document defines a taxonomy of information elements to assist AI stakeholders with identifying and addressing the needs for transparency of AI systems. The document describes the semantics of the information elements and their relevance to the various objectives of different AI stakeholders. This document uses a horizontal approach and is applicable to any kind of organization and application involving AI.	2025-11-01	Published	Artificial Intelligence	Link
IEC, ISO	TS 12791		Information technology — Artificial intelligence — Treatment of unwanted bias in classification and regression machine learning tasks	This document provides mitigation techniques that can be applied throughout the AI system life cycle in order to treat unwanted bias. This document describes how to address unwanted bias in AI systems that use machine learning to conduct classification and regression tasks. This document is applicable to all types and sizes of organization.		Under Development	Artificial Intelligence	Link
IEC, ISO	TS 17847	Ed. 1	Information technology — Artificial intelligence — Verification and validation analysis of AI systems	This document describes approaches and provides guidance on processes for the verification and validation analysis of AI systems (comprising AI system components and the interaction of non-AI components with the AI system components) including formal methods, simulation and evaluation. This document is applicable for AI systems verification and validation in the context of the AI system life cycle stages described in ISO/IEC 22989. This document is applicable to all types of organizations engaged in the development, deployment and use of AI systems.	2025-10-01	Under Development	Artificial Intelligence, Testing, Verification & Validation	Link
IEC, ISO	TR 24027	Ed. 1	Information technology — Artificial intelligence (AI) — Bias in AI systems and AI aided decision making	This document addresses bias in relation to AI systems, especially with regards to AI-aided decision-making. Measurement techniques and methods for assessing bias are described, with the aim to address and treat bias-related vulnerabilities. All AI system lifecycle phases are in scope, including but not limited to data collection, training, continual learning, design, testing, evaluation and use.	2021-11-01	Published	Artificial Intelligence	Link