ISO/IEC

ISO/IEC 24760-2:2015:- provides guidelines for the implementation of systems for the management of identity information, and- specifies requirements for the implementation and operation of a framework for identity management.ISO/IEC 24760-2:2015 is applicable to any information system where information relating to identity is processed or stored.

ISO/IEC 29115:2013 provides a framework for managing entity authentication assurance in a given context. In particular, it:- specifies four levels of entity authentication assurance;- specifies criteria and guidelines for achieving each of the four levels of entity authentication assurance;- provides guidance for mapping other authentication assurance schemes to the four LoAs;- provides guidance for exchanging the results of authentication that are based on the four LoAs; and- provides guidance concerning controls that should be used to mitigate authentication threats.

The structure of this document is as follows. Clauses 2-4 specify the terms, abbreviations, symbols and conventions used throughout the document. Clauses 5-11 contain definitions of the description tools standardized by 15938-3 grouped by the visual features they are associated with, starting with basic structures and containers in Clause 5, through color, texture, shape, motion, localization in Clause 10. Clause 11 contains the remaining, unclassified items. Each description tool is described by the following subclauses: - Syntax: Normative DDL specification of the Ds or DSs;- Binary Syntax: Normative binary representation of the Ds or DSs; and- Semantic: Normative definition of the semantics of all the components of the corresponding D or DS.

This document provides guidance for members of the governing body of an organization to enable and govern the use of Artificial Intelligence (AI), in order to ensure its effective, efficient and acceptable use within the organization. This document also provides guidance to a wider community, including: executive managers; external businesses or technical specialists, such as legal or accounting specialists, retail or industrial associations, or professional bodies; public authorities and policymakers; internal and external service providers (including consultants); assessors and auditors. This document is applicable to the governance of current and future uses of AI as well as the implications of such use for the organization itself. This document is applicable to any organization, including public and private companies, government entities and not-for-profit organizations. This document is applicable to an organization of any size irrespective of their dependence on data or information technologies.

This document defines a reference architecture of Knowledge Engineering (KE) in Artificial Intelligence (AI). The reference architecture describes KE roles, activities, constructional layers, components and their relationships among themselves and other systems from systemic user and functional views. This document also provides a common KE vocabulary by defining KE terms.

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.