Standards Database

Specific methodologies to help employers in accessing, collecting, storing, utilizing, sharing, and destroying employee data are described in this standard. Specific metrics and conformance criteria regarding these types of uses from trusted global partners and how third parties and employers…

New IEEE Standard – Active. Artificial intelligence (AI) computing differs from generic computing in terms of device formation, operators, and usage. AI server systems, including AI server, cluster, and high-performance computing (HPC) infrastructures are designed specifically for this purpose. The…

New IEEE Standard – Active. General requirements of online detection based on machine vision, including requirements for data format, data transmission processes, definition of application scenarios and performance metrics for evaluating the effect of online detection deployment are specified in…

New IEEE Standard – Active. A framework of knowledge graphs is proposed in this standard. The knowledge graph conceptual model, construction and integration process of knowledge graphs, main activities in the processes, and stakeholders of knowledge graphs are described in…

A set of ontologies with different abstraction levels that contain concepts, definitions, axioms, and use cases that assist in the development of ethically driven methodologies for the design of robots and automation systems is established by this standard. It focuses…

This document provides a definition of trustworthiness for systems and their associated services, along with a selected set of their characteristics. © ISO/IEC 2023 All rights reserved

This document describes the concept and goals of smart transportation by autonomous vehicles on public roads. It provides guidelines for the successful introduction and organisation of autonomous vehicles, with the aim of enhancing the safety of public road transportation and…

This document provides guidance for organizations to address security threats and failures in artificial intelligence (AI) systems. The guidance in this document aims to provide information to organizations to help them better understand the consequences of security threats to AI…

Recommendation ITU‑T Y.3602 describes a model and operations for big data provenance. This Recommendation also provides the functional requirements for a big data service provider (BDSP) to manage big data provenance. The reliability of data is an important factor in…

Recommendation ITU-T P.1402 introduces machine-learning techniques and their application for quality of service (QoS) and quality of experience (QoE) prediction and network performance management in telecommunication scenarios. Especially, the design of training and evaluation data is described and means to…

Recommendation ITU-T L.1040 establishes guidelines and requirements for information and communication technology original equipment manufacturer vendors providing equipment to autonomous vehicles aiming to reduce the amount of future e-waste. Recommendation ITU-T L.1040 analyses the e-waste risks and other sustainability indicators…

Recommendation ITU-T M.3382 provides the requirements for work order processing in telecom management with artificial intelligence (AI). Based on AI models and features extraction, work orders will be collected, analysed, forwarded and archived. This Recommendation describes the framework and functional…

To prepare standards applicable to the electronic and electrical functions and associated systems and equipment used in nuclear energy generation facilities (nuclear power plants, fuel handling and processing plants, interim and final repositories for spent fuel and nuclear waste) to…