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.
Federated machine learning defines a machine learning framework that allows a collective model to be constructed from data that is distributed across repositories owned by different organizations or devices. A blueprint for data usage and model building across organizations and devices while meeting applicable privacy, security and regulatory requirements is provided in this guide. It defines the architectural framework and application guidelines for federated machine learning, including description and definition of federated machine learning; the categories federated machine learning and the application scenarios to which each category applies; performance evaluation of federated machine learning; and associated regulatory requirements.
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.
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.
This document is the first of a family of standards. This document provides an overview of ISO 10303. ISO 10303 provides a representation of product information along with the necessary mechanisms and definitions to enable product data to be exchanged. The exchange is among different computer systems and environments associated with the complete product lifecycle, including product design, manufacture, use, maintenance, and final disposition of the product. This document defines the basic principles of product information representation and exchange used in ISO 10303. It specifies the characteristics of the various series of parts of ISO 10303 and the relationships among them. The following are within the scope of this document:(1) scope statement for ISO 10303 as a whole;(2) overview of ISO 10303;(3) architectures of ISO 10303;(4) structure of ISO 10303;(5) terms and definitions used throughout ISO 10303;(6) overview of data specification methods used in ISO 10303; NOTE: This includes the EXPRESS data specification language and graphical presentation of product information models.(7) introduction to the series of parts of ISO 10303: (a) integrated resources; (b) application interpreted constructs; (c) application modules; (d) business object models; (e) application protocols; (f) implementation methods; (g) usage guides; (h) conformance testing methodology and framework; (i) abstract test suites; (j) scheme for identification of schemas and other information objects defined within parts of ISO 10303.
This document identifies the reference framework for the benchmarking of vision-based spatial registration and tracking (vSRT) methods for mixed and augmented reality (MAR). The framework provides typical benchmarking processes, benchmark indicators and trial set elements that are necessary to successfully identify, define, design, select and apply benchmarking of vSRT methods for MAR. It also provides definitions for terms on benchmarking of vSRT methods for MAR. In addition, this document provides a conformance checklist as a tool to clarify how each benchmarking activity conforms to this document in a compact form by declaring which benchmarking processes and benchmark indicators are included and what types of trial sets are used in each benchmarking activity.
This document describes how to search for virtual reality (VR), augmented reality (AR) and mixed reality (MR) content through a curriculum catalogue based on curriculum and achievement standards information. The curriculum catalogue metadata is defined in order to search for educational VR and MR content information.
ISO/IEC 18025:2014 provides mechanisms to specify unambiguously objects used to model environmental concepts. To accomplish this, a collection of nine EDCS dictionaries of environmental concepts are specified:1. classifications: specify the type of environmental objects;2. attributes: specify the state of environmental objects;3. attribute value characteristics: specify information concerning the values of attributes;4. attribute enumerants: specify the allowable values for the state of an enumerated attribute;5. units: specify quantitative measures of the state of some environmental objects;6. unit scales: allow a wide range of numerical values to be stated;7. unit equivalence classes: specify sets of units that are mutually comparable;8. organizational schemas: useful for locating classifications and attributes sharing a common context; and9. groups: into which concepts sharing a common context are collected.A functional interface is also specified.