Standards Database

For the software engineering life cycle empowered by Generative Pre-trained Transformer (GPT) this recommended practice specifies: • a description and definitions, • the competency in each stage applying GPT, • levels of intelligence empowered by GPT, • intelligence level evaluation…

This recommended practice specifies tools and indexes for evaluating content generated by artificial intelligence technology. © Copyright 2024 IEEE – All rights reserved.

This recommended practice provides a comprehensive framework for understanding, defining, and evaluating AI risks, AI safety, AI trustworthiness, and AI responsibility in order to address and manage them while preserving the benefits of innovation. This recommended practice takes into consideration…

The recommended practice outlines a process model that leverages artificial intelligence imaging and data processing technologies for improved emissions information reporting. It provides textile producers with comprehensive data on fabrics, including their origins and metadata. This approach enables stakeholders to…

This recommended practice provides a holistic framework for AI foundation models. The framework allows sharing of the common computing resources, data and infrastructure in the usage(s) and application(s) of AI Foundation models. The detailed technical requirements for the holistic framework…

Recommendation ITU-T Y.3812 specifies high-level and functional requirements of machine learning (ML) based quality of service (QoS) assurance for quantum key distribution networks (QKDNs). This Recommendation first provides an overview of requirements of ML based QoS assurance for the QKDN.…

Access control policy verification ensures that there are no faults within the policy that leak or block access privileges. As a software test, access control policy verification relies on methods such as model proof, data structure, system simulation, and test…

Recommendation ITU-T Y.3182 describes an intelligent cost-effective network management and orchestration framework that can cope with the challenges of multi-domain network slicing, while minimizing human intervention towards full automation of slice lifecycle management and runtime operation. It addresses the following…

VDV-7055 explains the topic of “voice assistance systems” and what benefits they can have for transport companies. It provides transport companies and associations with guidance on the use of voice assistance systems such as SIRI, ALEXA, Google Assistant, BIXBY, Cortana,…

This SAE Aerospace Information Report (AIR) discusses characteristics of data communications for the Joint Architecture for Unmanned Systems (JAUS). This document provides guidance on the aspects of transport media, unmanned systems and the characteristics of JAUS itself that are relevant…

This document provides guidance on the classification of AI system by describing a taxonomy of methods and capabilities. The taxonomy enables AI stakeholders to describe and have a common understanding of an AI system. This document applies to all types…