iTeh StandardsiTeh Standards
EURUSD
Your shopping cart is empty.
CLC

CEN/CLC ISO/IEC/TR 24027:2023

(Main)

Information technology - Artificial intelligence (AI) - Bias in AI systems and AI aided decision making (ISO/IEC TR 24027:2021)

Information technology - Artificial intelligence (AI) - Bias in AI systems and AI aided decision making (ISO/IEC TR 24027:2021)

This document addresses bias in relation to AI systems, especially with regards to AI-aided decision-making. Measurement techniques and methods for assessing bias are described, with the aim to address and treat bias-related vulnerabilities. All AI system lifecycle phases are in scope, including but not limited to data collection, training, continual learning, design, testing, evaluation and use.

Künstliche Intelligenz (KI) - Bias in KI-Systemen und KI-gestützter Entscheidungsfindung (ISO/IEC TR 24027:2021)

Technologie de l'information - Intelligence artificielle (IA) - Biais dans les systèmes d’IA et dans la prise de décision assistée par IA (ISO/IEC TR 24027:2021)

Informacijska tehnologija - Umetna inteligenca (UI) - Pristranskost v sistemih UI in odločanje, podprto z UI (ISO/IEC TR 24027:2021)

General Information

Status
Published
Publication Date
19-Dec-2023
ICS
35.020 - Information technology (IT) in general
Technical Committee
CEN/CLC/JTC 21 - Artificial Intelligence
Drafting Committee
CEN/CLC/JTC 21/WG 3 - Engineering aspects
Current Stage
6060 - Document made available - Publishing
Start Date
20-Dec-2023
Due Date
20-Dec-2024
Completion Date
20-Dec-2023
Ref Project
kSIST-TP FprEN ISO/IEC/TR 24027:2023 - Information technology - Artificial intelligence (AI) - Bias in AI systems and AI aided decision making (ISO/IEC TR 24027:2021)

Buy Standard

kTP FprEN ISO/IEC/TR 24027:2023kTP FprEN ISO/IEC/TR 24027:2023
PreviousNext
Draft
kTP FprEN ISO/IEC/TR 24027:2023
English language
45 pages
sale 10% off
Preview
sale 10% off
Preview
e-Library read for
1 day

Standards Content (Sample)

SLOVENSKI STANDARD
kSIST-TP FprEN ISO/IEC/TR 24027:2023
01-november-2023
Informacijska tehnologija - Umetna inteligenca (UI) - Pristranskost v sistemih UI in
odločanje, podprto z UI (ISO/IEC TR 24027:2021)
Information technology - Artificial intelligence (AI) - Bias in AI systems and AI aided
decision making (ISO/IEC TR 24027:2021)
Künstliche Intelligenz (KI) - Bias in KI-Systemen und KI-gestützter Entscheidungsfindung
(ISO/IEC TR 24027:2021)
Technologie de l'information - Intelligence artificielle (IA) - Tendance dans les systèmes
de l'IA et dans la prise de décision assistée par l'IA (ISO/IEC TR 24027:2021)
Ta slovenski standard je istoveten z: FprEN ISO/IEC/TR 24027
ICS:
35.020 Informacijska tehnika in Information technology (IT) in
tehnologija na splošno general
kSIST-TP FprEN ISO/IEC/TR 24027:2023 en,fr,de
2003-01.Slovenski inštitut za standardizacijo. Razmnoževanje celote ali delov tega standarda ni dovoljeno.

---------------------- Page: 1 ----------------------
kSIST-TP FprEN ISO/IEC/TR 24027:2023

---------------------- Page: 2 ----------------------
kSIST-TP FprEN ISO/IEC/TR 24027:2023
TECHNICAL ISO/IEC TR
REPORT 24027
First edition
2021-11
Information technology — Artificial
intelligence (AI) — Bias in AI systems
and AI aided decision making
Technologie de l'information — Intelligence artificielle (IA) —
Tendance dans les systèmes de l'IA et dans la prise de décision assistée
par l'IA
Reference number
ISO/IEC TR 24027:2021(E)
© ISO/IEC 2021

---------------------- Page: 3 ----------------------
kSIST-TP FprEN ISO/IEC/TR 24027:2023
ISO/IEC TR 24027:2021(E)
COPYRIGHT PROTECTED DOCUMENT
© ISO/IEC 2021
All rights reserved. Unless otherwise specified, or required in the context of its implementation, no part of this publication may
be reproduced or utilized otherwise in any form or by any means, electronic or mechanical, including photocopying, or posting on
the internet or an intranet, without prior written permission. Permission can be requested from either ISO at the address below
or ISO’s member body in the country of the requester.
ISO copyright office
CP 401 • Ch. de Blandonnet 8
CH-1214 Vernier, Geneva
Phone: +41 22 749 01 11
Email: copyright@iso.org
Website: www.iso.org
Published in Switzerland
ii
  © ISO/IEC 2021 – All rights reserved

---------------------- Page: 4 ----------------------
kSIST-TP FprEN ISO/IEC/TR 24027:2023
ISO/IEC TR 24027:2021(E)
Contents Page
Foreword .v
Introduction . vi
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
3.1 Artificial intelligence . 1
3.2 Bias . 2
4 Abbreviations . 3
5 Overview of bias and fairness . 3
5.1 General . 3
5.2 Overview of bias . 3
5.3 Overview of fairness.
...

Questions, Comments and Discussion

Ask us and Technical Secretary will try to provide an answer. You can facilitate discussion about the standard in here.

This May Also Interest You

CLC
EN ISO/IEC 22989:2023(Main)
Information technology - Artificial intelligence - Artificial intelligence concepts and terminology (ISO/IEC 22989:2022)
SIST EN ISO/IEC 22989:2023

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).

  • Standard
    70 pages
    English language
    sale 10% off
    e-Library read for
    1 day
CLC
EN ISO/IEC 23053:2023(Main)
Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) (ISO/IEC 23053:2022)
SIST EN ISO/IEC 23053:2023

This document establishes an Artificial Intelligence (AI) and Machine Learning (ML) framework for describing a generic AI system using ML technology. The framework describes the system components and their functions in the AI ecosystem. This document is applicable to all types and sizes of organizations, including public and private companies, government entities, and not-for-profit organizations, that are implementing or using AI systems.

  • Standard
    44 pages
    English language
    sale 10% off
    e-Library read for
    1 day
CLC
CLC/TS 50600-5-1:2023(Main)
Information technology - Data centre facilities and infrastructures - Part 5-1: Maturity Model for Energy Management and Environmental Sustainability
SIST-TS CLC/TS 50600-5-1:2023

This document provides a maturity model addressing the environmental impact (energy management and environmental sustainability) of the facilities, infrastructures and the information and communication technology (ICT) equipment accommodated by the data centre.

  • Technical specification
    65 pages
    English language
    sale 10% off
    e-Library read for
    1 day
CLC
EN IEC 63474:2023(Main)
Electrical and electronic household and office equipment - Measurement of networked standby power consumption of edge equipment
SIST EN IEC 63474:2024

IEC 63474:2023 specifies methods of measurement of electrical power consumption in networked standby and the reporting of the results for edge equipment. Power consumption in standby (other than networked standby) is covered by EN 50564, including the input voltage range. This document also provides a method to test power management and to test whether it is possible to deactivate wireless network connection(s). This document does not apply to the measurement of electrical power consumption in networked standby for interconnecting equipment.

  • Standard
    26 pages
    English language
    sale 10% off
    e-Library read for
    1 day
CLC
EN ISO/IEC 23053:2023(Main)
Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) (ISO/IEC 23053:2022)
SIST EN ISO/IEC 23053:2023

This document establishes an Artificial Intelligence (AI) and Machine Learning (ML) framework for describing a generic AI system using ML technology. The framework describes the system components and their functions in the AI ecosystem. This document is applicable to all types and sizes of organizations, including public and private companies, government entities, and not-for-profit organizations, that are implementing or using AI systems.

  • Standard
    44 pages
    English language
    sale 10% off
    e-Library read for
    1 day
CLC
EN ISO/IEC 22989:2023(Main)
Information technology - Artificial intelligence - Artificial intelligence concepts and terminology (ISO/IEC 22989:2022)
SIST EN ISO/IEC 22989:2023

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).

  • Standard
    70 pages
    English language
    sale 10% off
    e-Library read for
    1 day
CLC
EN 50600-2-4:2023(Main)
Information technology - Data centre facilities and infrastructures - Part 2-4: Telecommunications cabling infrastructure
SIST EN 50600-2-4:2023

This document specifies design principles for information technology and network telecommunications cabling (e.g. SAN and LAN) in accordance with EN 50173 5, based upon the criteria and classifications for “availability” and “physical security” within EN 50600 1. This document addresses the telecommunications cabling infrastructures used in data centres. It describes: a) for design, the application of generic cabling standards in the EN 50173 series; b) for installation specification, planning and practices and quality assurance, the application of standards in the EN 50174 series (and related standards). In addition, this document specifies requirements and recommendations for the following: 1) general information technology cabling to support the IT operation of the data centre; 2) telecommunications cabling to monitor and control, as appropriate, power distribution, environmental control and physical security of the data centre; 3) other building automation cabling; 4) pathways, pathway systems, spaces and enclosures for the telecommunications cabling infrastructures. Safety and electromagnetic compatibility (EMC) requirements are outside the scope of this document and are covered by other standards and regulations. However, information given in this document can be of assistance in meeting these standards and regulations.

  • Standard
    61 pages
    English language
    sale 10% off
    e-Library read for
    1 day
CLC
EN 50600-4-9:2022(Main)
Information technology - Data centre facilities and infrastructures - Part 4-9: Water Usage Effectiveness
SIST EN 50600-4-9:2023

This document specifies the Water Usage Effectiveness (WUE) as a KPI for quantifying the water consumption of a data centre during use phase of the data centre life cycle. This document: a) defines the Water Usage Effectiveness (WUE) of a data centre; b) introduces WUE measurement categories; c) describes the relationship of this KPI to a data centre’s infrastructure, information technology equipment and information technology operations; d) defines the measurement, the calculation and the reporting of the parameter; e) provides information on the correct interpretation of the WUE.

  • Standard
    26 pages
    English language
    sale 10% off
    e-Library read for
    1 day
CLC
EN 50600-4-8:2022(Main)
Information technology - Data centre facilities and infrastructures - Part 4-8: Carbon usage effectiveness
SIST EN 50600-4-8:2023

This document specifies the Carbon Usage Effectiveness as a KPI to quantify the CO2 emissions of a data centre during the use phase of the data centre life cycle. This document a) defines the Carbon Usage Effectiveness (CUE) of a data centre, b) introduces CUE measurement categories, c) describes the relationship of this KPI to a data centre’s infrastructure, information technology equipment and information technology operations, d) defines the measurement, the calculation and the reporting of the parameter, e) provides information on the correct interpretation of the CUE.

  • Standard
    24 pages
    English language
    sale 10% off
    e-Library read for
    1 day
CLC
EN IEC 62872-2:2022(Main)
Industrial-process measurement, control and automation - Part 2: Internet of Things (IoT) - Application framework for industrial facility demand response energy management
SIST EN IEC 62872-2:2022

IEC 62872-2:2022 presents an IoT application framework for industrial facility demand response energy management (FDREM) for the smart grid, enabling efficient information exchange between industrial facilities using IoT related communication technologies. This document specifies: - an overview of the price-based demand response program that serves as basic knowledge backbone of the IoT application framework; - a IoT-based energy management framework which describes involved functional components, as well as their relationships; - detailed information exchange flows that are indispensable between functional components; - existing IoT protocols that need to be identified for each protocol layer to support this kind of information exchange; - communication requirements that guarantee reliable data exchange services for the application framework.

  • Standard
    56 pages
    English language
    sale 10% off
    e-Library read for
    1 day