Standards List

Last modified on 3 July, 2026

Show entries

Search:

Developing Organisation	Standard ID	Version	Name	Scope	Publication Date	Status	Technology Domain	Link
5GAA	TR A-200118	1.0	High-Accuracy Positioning for C-V2X	The present document aims to study the requirements of positioning, build understanding of the positioning system framework, and offer the corresponding technologies according to the requirements and environments, as well as some demonstrations in High-Accuracy Positioning for Vehicle-to-Everything (V2XHAP) services.	2021-09-02	Published	Connectivity, Map and positioning	Link
SAE	J3114	Ed. 1	Human Factors Definitions for Automated Driving and Related Research Topics	The aim of this Information Report is to provide terms and definitions that are important for the user’s interaction with L2 through L4 driving automation system features per SAE J3016, which provides a basis for this document.	2016-12-01	Published	Human Interaction	Link
SAE	J3171	Ed. 1	Identifying Automated Driving Systems-Dedicated Vehicles (ADS-DVs) Passenger Issues for Persons with Disabilities	It is expected that Level 4 and 5 automated driving systems-dedicated vehicles (ADS-DVs) will eventually enable persons to travel at will who are otherwise unable to obtain a driver's license for a conventional vehicle, namely, persons with certain visual, cognitive, and/or physical impairments. This information report focuses on these disabilities, but also provides guidance for those with other disabilities. This report is limited to fleet operated on-demand shared mobility scenarios, as this is widely considered to be the first way people will be able to interact with ADS-DVs. To be more specific, this report does not address fixed route transit services or private vehicle ownership. Similarly, this report is focused on road-worthy vehicles; not scooters, golf carts, etc. Lastly, this report does not address the design of chair lifts, ramps, or securements for persons who use wheeled mobility devices (WHMD) (e.g., wheelchair, electric cart, etc.), as these matters are addressed by other committees within SAE International.	2019-11-19	Published	Human Interaction	Link
SAE	AVSC00010202304	Ed.1	Information Report for Change Risk Management	AVSC Information Report for Change Risk Management AVSC00010202304 provides a process for change risk management for fleet-operated ADS-DVs using level 4 or 5 automation. The document addresses risks resulting from planned and unplanned changes in an ADS-DV design and/or operation. This information report is based on the concept of risk-informed decision-making. Making risk management decisions such as safety and change management, safety analysis, and safety assurance are especially applicable when moving from concept to production intent for the ADS-DV. Change Risk Management (CRM) does not replace best practices or other methods for managing safety anomalies or change management processes. It may instead be viewed as an additional resource that elaborates on how safety anomaly management and change management can be performed.	2023-04-12	Published	Management/ Engineering Standards, Safety	Link
IEC, ISO	42005	Ed. 1	Information technology — Artificial intelligence — AI system impact assessment	This document provides guidance for organizations performing AI system impact assessments for individuals and societies that can be affected by an AI system and its intended and foreseeable applications. It includes considerations for how and when to perform such assessments and at what stages of the AI system lifecycle, as well as guidance for AI system impact assessment documentation. Additionally, this guidance includes how this AI system impact assessment process can be integrated into an organization’s AI risk management and AI management system. This document is intended for use by organizations developing, providing, or using AI systems. This document is applicable to any organization, regardless of size, type and nature.	2025-05-01	Published	Artificial Intelligence	Link
IEC, ISO	5338	Ed. 1	Information technology — Artificial intelligence — AI system life cycle processes	This document defines a set of processes and associated concepts for describing the life cycle of AI systems based on machine learning and heuristic systems. It is based on ISO/IEC/IEEE 15288:2015 and ISO/IEC/IEEE 12207:2017 with modifications and additions of AI-specific processes from ISO/IEC 22989:— and ISO/IEC 23053:2022. This document provides processes that support the definition, control, management, execution and improvement of the AI system in its life cycle stages. These processes can also be used within an organization or a project when developing or acquiring AI systems. When an element of an AI system is traditional software or a traditional system, the software life cycle processes in ISO/IEC/IEEE 12207:2017 and the system life cycle processes in ISO/IEC/IEEE 15288:2015 can be used to implement that element.	2023-12-01	Published	Artificial Intelligence, Management/ Engineering Standards	Link
IEC, ISO	22989	Ed. 1	Information technology — Artificial intelligence — Artificial intelligence concepts and terminology	This document establishes terminology for AI and describes concepts in the field of AI. This document can be used in the development of other standards and in support of communications among diverse, interested parties or stakeholders. This document is applicable to all types of organizations (e.g. commercial enterprises, government agencies, not-for-profit organizations).	2022-07-01	Published	Artificial Intelligence, Terms & Definitions	Link
IEC, ISO	TS 8200		Information technology — Artificial intelligence — Controllability of automated artificial intelligence systems	This document defines a basic framework with principles, characteristics and approaches for the realization and enhancement for automated artificial intelligence (AI) systems’ controllability. The following areas are covered: ― State observability and state transition ― Control transfer process and cost ― Reaction to uncertainty during control transfer ― Verification and validation approaches This document is applicable to all types of organizations (e.g. commercial enterprises, government agencies, not-for-profit organizations) developing and using AI systems during their whole life cycle.		Under Development	Artificial Intelligence	Link
IEC, ISO	8183	Ed. 1	Information technology — Artificial intelligence — Data life cycle framework	This document defines the stages and identifies associated actions for data processing throughout the artificial intelligence (AI) system life cycle, including acquisition, creation, development, deployment, maintenance and decommissioning. This document does not define specific services, platforms or tools. This document is applicable to all organizations, regardless of type, size or nature, that use data in the development and use of AI systems.	2023-07-01	Published	Artificial Intelligence	Link
IEC, ISO	5339	Ed. 1	Information technology — Artificial intelligence — Guidance for AI applications	This document provides guidance for identifying the context, opportunities and processes for developing and applying AI applications. This guidance can be used by ISO, IEC, and JTC 1 Technical Committees and Subcommittees when developing standards for AI applications in their areas of interest. The guidance provides a macro-level view of the AI application context, the stakeholders and their roles, relationship to the life cycle of the system, and common AI application characteristics and considerations. The guidance references, but does not duplicate or overlap, other AI-related standards.	2024-01-01	Published	Artificial Intelligence, Management/ Engineering Standards	Link