Web 4.0 and virtual worlds

This document is the first of a family of standards. It specifies a set of functions for computer graphics programming, the graphical kernel system. Provides functions for two dimensional graphical output, the storage and dynamic modification of pictures, and operator input. Applicable to a wide range of applications that produce two dimensional pictures on vector or raster graphical devices in monochrome or colour.

ISO/IEC 15948:2004 specifies a datastream and an associated file format, Portable Network Graphics (PNG, pronounced 'ping'), for a lossless, portable, compressed individual computer graphics image transmitted across the Internet. Indexed-colour, greyscale, and truecolour images are supported, with optional transparency. Sample depths range from 1 to 16 bits. PNG is fully streamable with a progressive display option. It is robust, providing both full file integrity checking and simple detection of common transmission errors. PNG can store gamma and chromaticity data as well as a full ICC colour profile for accurate colour matching on heterogenous platforms. ISO/IEC 15948:2004 defines the Internet Media type "image/png". The datastream and associated file format have value outside of the main design goal.

This guide provides a technological framework that facilitates the increase of trustworthiness of AI (Artificial Intelligence) systems, by using explainable artificial intelligence (XAI) technologies and methods including the following aspects:1) the requirements of providing XAI systems in different application scenarios;2) the categorization of a series of XAI tools that offer human-understandable explanations; and3) a set of measurable solutions to evaluate XAI systems in terms of performances concerning the accuracy, privacy, and security.

This standard describes a Hyperspace Transaction Protocol (HSTP) that enables interoperable, semantically compatible connections between connected hardware (e.g. autonomous drones, sensors, smart devices, robots) and software (e.g. services, platforms, applications, artificial intelligence systems) and includes specifications for: 1) a spatial range query format and response language for requesting data about objects within a dimensional range (spatial, temperature, pressure, motion) and their content. 2) a semantic data ontology schema for describing objects, relations, and actions in a standardized way 3) a verifiable credentialing and certification method for permissioning create, retrieve, update, and delete (CRUD) access to devices, locations, users, and data; and4) a human and machine-readable contracting language that enables the expression and automated execution of legal, financial and physical activities.

This recommended practice specifies governance criteria such as safety, transparency, accountability, responsibility and minimizing bias, and process steps for effective implementation, performance auditing, training and compliance in the development or use of artificial intelligence within organizations.

This recommended practice describes ethical considerations and recommended best practices in the design of artificial intelligence as used by adaptive instructional systems. The ethical considerations derived from P2247.1, Standard for the Classification of Adaptive Instructional Systems, is directly related to: P2247.1 Standard for the Classification of Adaptive Instructional Systems, P2247.2 Interoperability Standards for Adaptive Instructional Systems (AISs), and P2247.3 Recommended Practices for Evaluation of Adaptive Instructional Systems.

This document is the first of a family of standards. ISO/IEC 12087 is concerned with the manipulation, processing, and interchange of all types of digital images. The main purpose of this part is to define a generic, unifying imaging architecture to which other parts of ISO/IEC 12087 conform. This part of ISO/IEC 12087 also defines those specializations or delineations of the generic imaging architecture that are required to support IPI-PIKS and IPI-IIF.

The standard identifies/addresses the manner in which personal privacy terms are proffered and how they can be read and agreed to by machines.

This standard defines a model for ethical considerations and practices in the design, creation and use of empathic technology, incorporating systems that have the capacity to identify, quantify, respond to, or simulate affective states, such as emotions and cognitive states. This includes coverage of 'affective computing', 'emotion Artificial Intelligence' and related fields.

The standard establishes requirements for blockchain based digital identity systems. The standard addresses the following attributes of the system, including but not limited to, digital identity definition, distributed digital identity creation, distributed digital identity authentication, distributed digital identity note (refers to identity credentials such as identity card, work card, member card), data or asset circulation protocols.

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).

This document defines a set of metadata to support the audit trail of the transformation of a geometry definition, while it is distributed and shared in supply-chains, to ensure the traceability of geometric model data. It also defines a set of web services based on the utilisation of these metadata. The following are within the scope of this document:(1) metadata definitions for geometry transformation audit trail:(2) syntax for storing these metadata in geometry data sets in various formats;(3) conformance level for implementers and business processes; and(4) definitions of web services to query the geometric model data set and its associated metadata.The following are outside the scope of this document:(1) service specifications for CAD operations;(2) specifications of a cybersecurity infrastructure to enable web services;(3) the technical implementation of a STEP geometry services client or server;(4) any geometric model definition;(5) any product and manufacturing information (PMI) definition; and(6) archiving.