ISO/IEC 42005:2025
(Main)Information technology — Artificial intelligence (AI) — AI system impact assessment
Information technology — Artificial intelligence (AI) — AI system impact assessment
This document provides guidance for organizations performing artificial intelligence (AI) system impact assessments for individuals and societies that can be affected by an AI system and its foreseeable applications. It includes considerations for how and when to perform such assessments and at what stages of the AI system life cycle, as well as guidance for AI system impact assessment documentation. Additionally, this guidance includes how this AI system impact assessment process can be integrated into an organization’s AI risk management and AI management system. This document is intended for use by organizations developing, providing or using AI systems. This document is applicable to any organization, regardless of size, type and nature.
Technologies de l'information — Intelligence artificielle (IA) — Évaluation de l'impact des systèmes d'IA
General Information
Standards Content (Sample)
International
Standard
ISO/IEC 42005
First edition
Information technology — Artificial
2025-05
intelligence (AI) — AI system
impact assessment
Technologies de l'information — Intelligence artificielle (IA) —
Évaluation de l'impact des systèmes d'IA
Reference number
© ISO/IEC 2025
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ii
Contents Page
Foreword .v
Introduction .vi
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
4 Abbreviated terms . 2
5 Developing and implementing an AI system impact assessment process . 3
5.1 General .3
5.2 Documenting the process .3
5.3 Integration with other organizational management processes .4
5.4 Timing of AI system impact assessment .4
5.5 Scope of the AI system impact assessment .5
5.6 Allocating responsibilities .5
5.7 Establishing thresholds for sensitive uses, restricted uses and impact scales .6
5.8 Performing the AI system impact assessment .7
5.9 Analysing the results of the AI system impact assessment .7
5.10 Recording and reporting .7
5.11 Approval process .8
5.12 Monitoring and review .8
6 Documenting the AI system impact assessment . 9
6.1 General .9
6.2 Scope of the AI system impact assessment .9
6.3 AI system information .9
6.3.1 AI system description .9
6.3.2 AI system functionalities and capabilities .10
6.3.3 AI system purpose .10
6.3.4 Intended uses .10
6.3.5 Unintended uses .10
6.4 Data information and quality .11
6.4.1 General .11
6.4.2 Data information .11
6.4.3 Data quality documentation . 12
6.5 Algorithm and model information . 12
6.5.1 General . 12
6.5.2 Information on algorithms used by the organization . 12
6.5.3 Information on algorithm development . 13
6.5.4 Information on models used in an AI system . 13
6.5.5 Information on model development . 13
6.6 Deployment environment .14
6.6.1 Geographical area and languages .14
6.6.2 Deployment environment complexity and constraints .14
6.7 Relevant interested parties . 15
6.7.1 General . 15
6.7.2 Directly affected interested parties . 15
6.7.3 Other relevant interested parties . 15
6.8 Actual and reasonably foreseeable impacts . 15
6.8.1 General . 15
6.8.2 Benefits and harms .16
6.8.3 AI system failures and reasonably foreseeable misuse .19
6.9 Measures to address harms and benefits .19
Annex A (informative) Guidance for use with ISO/IEC 42001 .21
Annex B (informative) Guidance for use with ISO/IEC 23894 .23
© ISO/IEC 2025 – All rights reserved
iii
Annex C (informative) Harms and benefits taxonomy .25
Annex D (informative) Aligning AI system impact assessment with other assessments .27
Annex E (informative) Example of an AI system impact assessment template .31
Bibliography .38
© ISO/IEC 2025 – All rights reserved
iv
Foreword
ISO (the International Organization for Standardization) and IEC (the International Electrotechnical
Commission) form the specialized system for worldwide standardization. National bodies that are
members of ISO or IEC participate in the development of International Standards through technical
committees established by the respective organization to deal with particular fields of technical activity.
ISO and IEC technical committees collaborate in fields of mutual interest. Other international organizations,
governmental and non-governmental, in liaison with ISO and IEC, also take part in the work.
The procedures used to develop this document and those intended for its further maintenance are described
in the ISO/IEC Directives, Part 1. In particular, the different approval criteria needed for the different types
of document should be noted. This document was drafted in accordance with the editorial rules of the ISO/
IEC Directives, Part 2 (see www.iso.org/directives or www.iec.ch/members_experts/refdocs).
ISO and IEC draw attention to the possibility that the implementation of this document may involve the
use of (a) patent(s). ISO and IEC take no position concerning the evidence, validity or applicability of any
claimed patent rights in respect thereof. As of the date of publication of this document, ISO and IEC had not
received notice of (a) patent(s) which may be required to implement this document. However, implementers
are cautioned that this may not represent the latest information, which may be obtained from the patent
database available at www.iso.org/patents and https://patents.iec.ch. ISO and IEC shall not be held
responsible for identifying any or all such patent rights.
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For an explanation of the voluntary nature of standards, the meaning of ISO specific terms and expressions
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In the IEC, see www.iec.ch/understanding-standards.
This document was prepared by Joint Technical Committee ISO/IEC JTC 1, Information technology,
Subcommittee SC 42, Artificial intelligence.
Any feedback or questions on this document should be directed to the user’s national standards
body. A complete listing of these bodies can be found at www.iso.org/members.html and
www.iec.ch/national-committees.
© ISO/IEC 2025 – All rights reserved
v
Introduction
The growing application of systems, products, services and components of such that incorporate some form
of artificial intelligence (AI) has led to a growing concern about how AI systems can potentially impact
all levels of society. AI brings with it the promise of great benefits: automation of difficult or dangerous
jobs, faster and more accurate analysis of large sets of data, advances in healthcare etc. How
...
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