ISO/IEC

This document defines a set of processes and associated terminology for describing the life cycle of AI systems. This document forms the foundation of a detailed AI system life cycle specification. It is based on ISO/IEC/IEEE 15288 and ISO/IEC/IEEE 12207 with substitutes for and additions of AI specific processes, whose foundation is based on ISO/IEC 22989 and ISO/IEC 23053. Selected sets of these processes can be applied throughout the life cycle for managing and performing the stages of an AI system's life cycle. This document provides processes that support the definition, control and improvement of the AI system life cycle processes used within an organization or a project. Organizations and projects can use these processes 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 and the system life cycle processes in ISO/IEC/IEEE 15288 may be used to implement that element.

This document provides a set of guidelines for identifying the context, opportunities, and processes for developing and applying AI applications. It can be used by ISO, IEC, and JTC1 Technical Committees and Sub-Committees to build on this work in developing standards for AI applications in their areas of interest. The guidelines provide 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. The guidelines will reference but not duplicate or overlap other AI-related standards to build details.

Defines:- common formats,- values, and- coding for Internet of things (IoT).

This document establishes terminology for Digital Twin (DT) and describes concepts in the field of Digital Twin, including the terms and definitions of Digital Twin, concepts of Digital Twin (e.g., Digital Twin ecosystem, lifecycle process for Digital Twin, and classifications of Digital Twin), Functional view of Digital Twin and Digital Twin stakeholders. This document can be used in the development of other standards and in support of communications among diverse, interested parties/stakeholders. This document is applicable to all types of organizations (e.g., commercial enterprises, government agencies, not-for-profit organizations).

This document provides a generic digital twin maturity model, definition of assessment indicators, and guidance for a maturity assessment.

This document specifies a general Digital Twin Reference Architecture in terms of defining system characteristics, a Reference Model and architecture views for Digital Twins.

This document provides a collection of representative use cases of DT applications in a variety of domains.

The human information data model for VR-based smart cities is defined to represent human-related information in 3D virtual environments. It defines concepts, a data model, and how to integrate 3D virtual worlds and information related to sensors that people carry with them. It defines an exchangeable information data model necessary for transferring and storing human information in 3D virtual smart cities. This document will specify:- Representation of human information in a 3D virtual smart city.- Representation of human information with sensors in a 3D virtual smart city.- Representation of human semantic and physiological information for a 3D virtual smart city.- Definition of an interchangeable data model for human information for a VR smart city.

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.

This document describes the architecture of systems for the internet of media things.

ISO/IEC 19775-2:2015, Extensible 3D (X3D), defines a system that integrates 3D graphics and multimedia. Conceptually, each X3D file is a 3D time-based space that contains graphic and aural objects that can be dynamically modified through a variety of mechanisms. This part of ISO/IEC 19776 defines a mapping of the abstract objects in X3D to a specific encoding using the technique defined in ISO/IEC 14772 ? Virtual reality modeling language (VRML). Each Classic VRML-encoded X3D file:a. supports all of the purposes of X3D files defined in ISO/IEC 19775; andb. encodes X3D constructs in Classic VRML format.A Classic VRML-encoded X3D file may be referenced from files using other encodings and may itself reference X3D files encoded using other encodings. Such files can only be processed by browsers which conform to all of the utilized encodings.

This document specifies the abstract class of a media thing (MThing), which is a basic component to construct the Internet of media things. The MThing class contains the basic APIs to:(a) discover other MThing(s) in the network;(b) connect/disconnect MThing(s); and(c) support transactions (e.g. payments) using media tokens between MThings.