SIST-TP CEN ISO/TR 22100-5:2022
(Main)Safety of machinery - Relationship with ISO 12100 - Part 5: Implications of artificial intelligence machine learning (ISO/TR 22100-5:2021)
Safety of machinery - Relationship with ISO 12100 - Part 5: Implications of artificial intelligence machine learning (ISO/TR 22100-5:2021)
This document addresses how artificial intelligence machine learning can impact the safety of machinery and machinery systems.
This document describes how hazards being associated with artificial intelligence (AI) applications machine learning in machinery or machinery systems, and designed to act within specific limits, can be considered in the risk assessment process.
This document is not applicable to machinery or machinery systems with AI applications machine learning designed to act beyond specified limits that can result in unpredictable effects.
This document does not address safety systems with AI, for example, safety-related sensors and other safety-related parts of control systems.
Sicherheit von Maschinen - Beziehung zu ISO 12100 - Teil 5: Auswirkungen von maschinellem Lernen mit künstlicher Intelligenz (ISO/TR 22100 5:2021)
Dieses Dokument befasst sich damit, wie sich der Einsatz von künstlicher Intelligenz für maschinelles Lernen auf die Sicherheit von Maschinen und Maschinensystemen auswirken kann.
Dieses Dokument beschreibt, wie Gefährdungen, die mit Anwendungen der künstlichen Intelligenz (KI) für maschinelles Lernen in Maschinen oder Maschinensystemen verbunden sind und innerhalb bestimmter Grenzen wirken sollen, im Risikobeurteilungsprozess berücksichtigt werden können.
Dieses Dokument ist nicht anwendbar auf Maschinen oder Maschinensysteme mit KI-Anwendungen für maschinelles Lernen, die so konstruiert sind, dass sie jenseits festgelegter Grenzen wirken, was zu unvorhersehbaren Auswirkungen führen kann.
Dieses Dokument gilt nicht für Sicherheitssysteme mit KI, z. B. sicherheitsrelevante Sensoren und andere sicherheitsrelevante Teile von Steuerungssystemen.
Sécurité des machines - En relation avec l'ISO 12100 - Partie 5: Implications de l’intelligence artificielle pour l’apprentissage automatique (ISO/TR 22100-5:2021)
Le présent document traite de la manière dont l’apprentissage automatique d’intelligence artificielle peut impacter la sécurité des machines et des systèmes de machines.
Le présent document décrit comment les phénomènes dangereux associés à l’apprentissage automatique par intelligence artificielle (IA) dans les machines ou les systèmes de machines conçues pour agir dans des limites spécifiques, peuvent être pris en considération dans le processus d’appréciation du risque.
Le présent document n’est pas applicable aux machines ou aux systèmes de machines pour lesquels l’apprentissage automatique des applications d’IA est conçu pour agir au-delà des limites spécifiées, ce qui peut conduire à des effets imprévisibles.
Le présent document ne traite pas des systèmes de sécurité avec une IA, par exemple, capteurs relatifs à la sécurité et autres parties relatives à la sécurité des systèmes de commande.
Varnost strojev - Povezava z ISO 12100 - 5. del: Učinki strojnega učenja umetne inteligence (ISO/TR 22100-5:2021)
Ta dokument obravnava načine, na katere lahko umetna inteligenca (strojno učenje) vpliva na varnost strojev in strojnih sistemov. Ta dokument opisuje, kako se lahko v postopku ocenjevanja tveganj upoštevajo nevarnosti, ki so povezane z aplikacijami umetne inteligence (AI) (strojnega učenja) pri strojih ali strojnih sistemih, zasnovanimi za delovanje znotraj določenih mejnih vrednosti. Ta dokument se ne uporablja za stroje ali strojne sisteme z aplikacijami umetne inteligence (strojnega učenja), zasnovanimi za delovanje zunaj določenih mejnih vrednosti, ki lahko povzročijo nepredvidljive učinke. Ta dokument ne obravnava varnostnih sistemov z umetno inteligenco, kot so z varnostjo povezana tipala in drugi z varnostjo povezani deli krmilnih sistemov.
General Information
Overview
CEN ISO/TR 22100-5:2022 (identical to ISO/TR 22100-5:2021) gives guidance on how artificial intelligence (AI) - specifically machine learning (ML) - can affect the safety of machinery and how those effects should be addressed using the risk assessment principles of ISO 12100. The technical report clarifies scope, terms (AI, machine learning), typical AI use cases in machinery, and practical examples showing when AI introduces no new hazards and when it does.
Key topics
- Scope and applicability
- Focuses on AI/ML applications designed to act within specified limits; not applicable to systems intended to act beyond limits causing unpredictable effects.
- Excludes safety-related systems with AI (e.g., safety sensors and other safety-related control parts).
- Definitions
- Clear definitions of artificial intelligence and machine learning as used in the machinery context.
- AI lifecycle in machinery
- Distinction between training and inference (autonomous operation) phases of ML-enabled control systems.
- Risk assessment alignment
- Guidance on how to apply the ISO 12100 risk assessment and risk reduction process to AI/ML functions in machines.
- Examples and analysis
- Illustrative cases: packaging robots, precision herbicide spraying, laser cutting part removal (examples without safety implications) and autonomous guided vehicles (AGVs) operating without perimeter safeguards (examples with safety implications).
Applications and practical value
- Helps machinery designers, safety engineers, and manufacturers determine whether an AI/ML function:
- Introduces new hazards or increases existing risks,
- Requires additional risk reduction measures beyond those for conventional designs.
- Practical use cases include:
- Quality control, process optimization, condition/failure monitoring, and predictive maintenance.
- Design decisions for AGVs, automated material handling, agricultural machinery and automated cutting systems.
- Useful for:
- Design teams integrating ML into control systems,
- Compliance managers preparing CE/market safety documentation,
- Risk assessors applying ISO 12100 to AI-enabled machinery.
Related standards
- ISO 12100 - General principles for risk assessment and risk reduction (primary reference for applying this report).
- Other ISO/IEC terminology and ML references cited in the report (for definitions and broader AI context).
This technical report is a practical resource for organizations integrating AI/ML into machinery - helping ensure safe design choices, consistent risk assessment, and better alignment with established machinery safety standards. Keywords: safety of machinery, ISO 12100, AI machine learning, risk assessment, AGV, predictive maintenance.
Standards Content (Sample)
SLOVENSKI STANDARD
01-julij-2022
Varnost strojev - Povezava z ISO 12100 - 5. del: Učinki strojnega učenja umetne
inteligence (ISO/TR 22100-5:2021)
Safety of machinery - Relationship with ISO 12100 - Part 5: Implications of artificial
intelligence machine learning (ISO/TR 22100-5:2021)
Sicherheit von Maschinen - Beziehung zu ISO 12100 - Teil 5: Auswirkungen von
maschinellem Lernen mit künstlicher Intelligenz (ISO/TR 22100 5:2021)
Sécurité des machines - En relation avec l'ISO 12100 - Partie 5: Implications de
l’intelligence artificielle pour l’apprentissage automatique (ISO/TR 22100-5:2021)
Ta slovenski standard je istoveten z: CEN ISO/TR 22100-5:2022
ICS:
13.110 Varnost strojev Safety of machinery
2003-01.Slovenski inštitut za standardizacijo. Razmnoževanje celote ali delov tega standarda ni dovoljeno.
CEN ISO/TR 22100-5
TECHNICAL REPORT
RAPPORT TECHNIQUE
April 2022
TECHNISCHER BERICHT
ICS 13.110
English Version
Safety of machinery - Relationship with ISO 12100 - Part 5:
Implications of artificial intelligence machine learning
(ISO/TR 22100-5:2021)
Sécurité des machines - En relation avec l'ISO 12100 - Sicherheit von Maschinen - Beziehung zu ISO 12100 -
Partie 5: Implications de l'intelligence artificielle pour Teil 5: Auswirkungen von maschinellem Lernen mit
l'apprentissage automatique (ISO/TR 22100-5:2021) künstlicher Intelligenz (ISO/TR 22100 5:2021)
This Technical Report was approved by CEN on 13 April 2022. It has been drawn up by the Technical Committee CEN/TC 114.
CEN members are the national standards bodies of Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia,
Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway,
Poland, Portugal, Republic of North Macedonia, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and
United Kingdom.
EUROPEAN COMMITTEE FOR STANDARDIZATION
COMITÉ EUROPÉEN DE NORMALISATION
EUROPÄISCHES KOMITEE FÜR NORMUNG
CEN-CENELEC Management Centre: Rue de la Science 23, B-1040 Brussels
© 2022 CEN All rights of exploitation in any form and by any means reserved Ref. No. CEN ISO/TR 22100-5:2022 E
worldwide for CEN national Members.
Contents Page
European foreword . 3
European foreword
The text of ISO/TR 22100-5:2021 has been prepared by Technical Committee ISO/TC 199 "Safety of
machinery” of the International Organization for Standardization (ISO) and has been taken over as
of which is held by DIN.
Attention is drawn to the possibility that some of the elements of this document may be the subject of
patent rights. CEN shall not be held responsible for identifying any or all such patent rights.
Any feedback and questions on this document should be directed to the users’ national standards body.
A complete listing of these bodies can be found on the CEN website.
Endorsement notice
The text of ISO/TR 22100-5:2021 has been approved by CEN as CEN ISO/TR 22100-5:2022 without any
modification.
TECHNICAL ISO/TR
REPORT 22100-5
First edition
2021-01
Safety of machinery — Relationship
with ISO 12100 —
Part 5:
Implications of artificial intelligence
machine learning
Sécurité des machines — En relation avec l'ISO 12100 —
Partie 5: Implications de l’intelligence artificielle pour l’apprentissage
automatique
Reference number
ISO/TR 22100-5:2021(E)
©
ISO 2021
ISO/TR 22100-5:2021(E)
© ISO 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 2021 – All rights reserved
ISO/TR 22100-5:2021(E)
Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
4 Use of AI in the machinery sector . 2
4.1 General . 2
4.2 Examples for use of AI machine learning in machine applications . 2
4.2.1 Examples without safety implications . 2
4.2.2 Examples with safety implications . 3
5 Conclusion . 5
Bibliography . 6
ISO/TR 22100-5:2021(E)
Foreword
ISO (the International Organization for Standardization) is a worldwide federation of national standards
bodies (ISO member bodies). The work of preparing International Standards is normally carried out
through ISO technical committees. Each member body interested in a subject for which a technical
committee has been established has the right to be represented on that committee. International
organizations, governmental and non-governmental, in liaison with ISO, also take part in the work.
ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of
electrotechnical standardization.
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 ISO documents 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).
Attention is drawn to the possibility that some of the elements of this document may be the subject of
patent rights. ISO shall not be held responsible for identifying any or all such patent rights. Details of
any patent rights identified during the development of the document will be in the Introduction and/or
on the ISO list of patent declarations received (see www .iso .org/ patents).
Any trade name used in this document is information given for the convenience of users and does not
constitute an endorsement.
For an explanation of the voluntary nature of standards, the meaning of ISO specific terms and
expressions related to conformity assessment, as well as information about ISO's adherence to the
World Trade Organization (WTO) principles in the Technical Barriers to Trade (TBT), see www .iso .org/
iso/ foreword .html.
This document was prepared by Technical Committee ISO/TC 199, Safety of machinery.
A list of all parts in the ISO/TR 22100 series can be found on the ISO website.
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.
iv © ISO 2021 – All rights reserved
ISO/TR 22100-5:2021(E)
Introduction
The primary purpose of this document is to provide guidance for the development of artificial
intelligence (AI) machine learning applications. Safety can be compromised due to the significant
complexity of introducing AI machine learning to machines.
A control system can use machine learning (a technology of artificial intelligence) to improve
performance of the machine or to execute tasks. The control system learns its expected behaviour
through training. This involves two stages: training and inference (autonomous operation).
This document assists machinery designers to develop solutions appropriate for their particular
applications. It describes how to apply the risk assessment process according to ISO 12100 to AI
machine learning applications.
AI machine learning is a rapidly evolving technology and has not been a subject of machinery safety
until now.
TECHNICAL REPORT ISO/TR 22100-5:2021(E)
Safety of machinery — Relationship with ISO 12100 —
Part 5:
Implications of artificial intelligence machine learning
1 Scope
This document addresses how artificial intelligence machine learning can impact the safety of
machinery and machinery systems.
This document describes how hazards being associated with artificial intelligence (AI) applications
machine learning in machinery or machinery systems, and designed to act within specific limits, can be
considered in the risk assessment process.
This document is not applicable to machinery or machinery systems with AI applications machine
learning designed to act beyond specified limits that can result in unpredictable effects.
This document does not address safety systems with AI, for example, safety-related sensors and other
safety-related parts of control systems.
2 Normative references
There are no normative refe
...
Frequently Asked Questions
SIST-TP CEN ISO/TR 22100-5:2022 is a technical report published by the Slovenian Institute for Standardization (SIST). Its full title is "Safety of machinery - Relationship with ISO 12100 - Part 5: Implications of artificial intelligence machine learning (ISO/TR 22100-5:2021)". This standard covers: This document addresses how artificial intelligence machine learning can impact the safety of machinery and machinery systems. This document describes how hazards being associated with artificial intelligence (AI) applications machine learning in machinery or machinery systems, and designed to act within specific limits, can be considered in the risk assessment process. This document is not applicable to machinery or machinery systems with AI applications machine learning designed to act beyond specified limits that can result in unpredictable effects. This document does not address safety systems with AI, for example, safety-related sensors and other safety-related parts of control systems.
This document addresses how artificial intelligence machine learning can impact the safety of machinery and machinery systems. This document describes how hazards being associated with artificial intelligence (AI) applications machine learning in machinery or machinery systems, and designed to act within specific limits, can be considered in the risk assessment process. This document is not applicable to machinery or machinery systems with AI applications machine learning designed to act beyond specified limits that can result in unpredictable effects. This document does not address safety systems with AI, for example, safety-related sensors and other safety-related parts of control systems.
SIST-TP CEN ISO/TR 22100-5:2022 is classified under the following ICS (International Classification for Standards) categories: 13.110 - Safety of machinery. The ICS classification helps identify the subject area and facilitates finding related standards.
You can purchase SIST-TP CEN ISO/TR 22100-5:2022 directly from iTeh Standards. The document is available in PDF format and is delivered instantly after payment. Add the standard to your cart and complete the secure checkout process. iTeh Standards is an authorized distributor of SIST standards.
SIST-TP CEN ISO/TR 22100-5:2022は、機械の安全性における人工知能（AI）および機械学習の関係を探求する重要な文書です。この標準は、AIを活用した機械や機械システムがもたらす潜在的な危険について、リスク評価プロセスでどのように考慮されるべきかを詳細に説明しています。 この標準の強みは、AIアプリケーションが特定の制限内で動作する場合における危険の理解を深めることです。機械や機械システムにおけるAIの活用が進む中で、これらのリスクを効果的に管理する方法を示すことは、製造業界にとって非常に重要です。したがって、SIST-TP CEN ISO/TR 22100-5:2022は、機械の安全性を向上させるための具体的な指針を提供しています。 また、この標準は、AIアプリケーションが指定された制限を超えて動作する場合における不確実性の影響については扱っていません。この点は明確で、リスク管理を行う上での適用範囲を明確にし、適切なリスク評価が行えるようにしています。このようなクリアなスコーピングは、利用者にとって重要な情報源となるでしょう。 さらに、AI関連の安全システム、例えば安全関連のセンサーや制御システムの他の安全関連部品はこの標準の範囲外であるため、利用者は異なる標準やガイドラインを参照する必要があります。これは、異なる安全対策を考慮する必要があることを示しており、機械の安全性を確保するための広範な視点を提供しています。 総じて、SIST-TP CEN ISO/TR 22100-5:2022は、機械学習とAI技術の進展が機械の安全性に与える影響を考慮する上で、重要な指針を提供する文書として、その関連性と必要性を強調しています。
Le document SIST-TP CEN ISO/TR 22100-5:2022 traite des implications de l'intelligence artificielle et de l'apprentissage automatique sur la sécurité des machines, en lien avec la norme ISO 12100. Ce document se concentre sur l'évaluation des risques associés aux applications d'intelligence artificielle dans les systèmes de machines, en spécifiant que ces applications doivent fonctionner dans des limites définies pour garantir la sécurité. Voici quelques forces et points pertinents de cette norme : 1. **Portée claire et ciblée** : La norme explore de manière approfondie comment l'apprentissage automatique peut influencer la sécurité des machines, en respectant des limites précises. Cela permet aux fabricants et aux utilisateurs de mieux comprendre les enjeux liés à l'intégration de l'intelligence artificielle dans les systèmes de machines. 2. **Évaluation des risques** : L'un des points forts de ce document est son approche structurée de l'évaluation des risques. Il fournit des lignes directrices sur la manière dont les dangers associés à l'intelligence artificielle doivent être pris en compte dans le processus d'évaluation des risques, ce qui renforce la sécurité des systèmes mécaniques. 3. **Limites de l'application** : La norme établit clairement que son application ne s'étend pas à des systèmes de machines dotés d'intelligence artificielle conçus pour agir au-delà des limites spécifiées, minimisant ainsi les risques d'effets imprévisibles. Cela aide à encadrer l'utilisation de technologies avancées et assure une meilleure prévisibilité des comportements des systèmes de machines. 4. **Pertinence dans un contexte technologique en évolution** : À mesure que l'intelligence artificielle devient de plus en plus intégrée dans les systèmes industriels, cette norme prend un sens crucial. Elle représente un pas en avant dans l'adhésion aux normes de sécurité tout en permettant l'innovation par le biais d'applications d'apprentissage automatique. 5. **Exclusion des systèmes de sécurité** : La norme mentionne expressément qu'elle ne couvre pas les systèmes de sécurité avec intelligence artificielle, comme les capteurs liés à la sécurité. Cela évite la confusion et permet de concentrer l'effort sur les implications spécifiques de l'apprentissage automatique sur la sécurité des machines. En somme, le document SIST-TP CEN ISO/TR 22100-5:2022 est une ressource essentielle pour toute entité cherchant à naviguer les défis de la sécurité des machines dans le contexte de l'intelligence artificielle. Son approche méthodique et ses précautions spécifiques en matière de limites d'application témoignent de sa pertinence et de sa robustesse dans un domaine en constante évolution.
The standard SIST-TP CEN ISO/TR 22100-5:2022 provides a significant framework for understanding the implications of artificial intelligence (AI) and machine learning within the realm of machinery safety. Its focus on the relationship with ISO 12100 underlines its comprehensive nature, emphasizing the importance of risk assessment in the context of emerging technologies. One of the primary strengths of this document is its clear articulation of how AI applications can introduce unique hazards in machinery and machinery systems. By addressing the specific limitations within which these intelligent systems must operate, the standard effectively guides manufacturers and safety professionals in integrating AI while ensuring safety. This aspect is crucial because it allows for the identification and management of risks associated with machine learning algorithms that are designed to operate within expected parameters. Moreover, the standard's delineation of equipment outside of its scope-specifically machinery systems with AI designed to act beyond specified limits-is particularly relevant. This exclusion is vital as it ensures that the document maintains a focused approach, concentrating on manageable risks associated with AI rather than delving into unpredictable effects which could complicate safety assessments. Another notable strength of the SIST-TP CEN ISO/TR 22100-5:2022 is its applicability to the risk assessment process. By incorporating AI considerations into the risk evaluation, the standard not only keeps pace with technological advancements but also enhances the safety framework for machinery systems. This proactive stance helps stakeholders navigate the complexities involved in integrating AI technologies, promoting safer operational practices. In summary, the SIST-TP CEN ISO/TR 22100-5:2022 stands as a pivotal reference for professionals dealing with machinery safety in the context of artificial intelligence and machine learning. Its targeted scope, clear guidelines on risk assessment, and exclusion of less predictable AI applications position it as a relevant and timely document in the evolving landscape of machinery safety standards.
SIST-TP CEN ISO/TR 22100-5:2022 표준은 인공지능(AI) 및 머신러닝이 기계와 기계 시스템의 안전성에 미치는 영향을 다루고 있습니다. 이 문서는 AI 응용 프로그램에서 발생할 수 있는 위험 요소를 분석하고, 이러한 위험이 기계 위험 평가 프로세스에서 어떻게 고려되어야 하는지를 명확히 설명하고 있습니다. 특히, 특정 한계를 내에서 작동하도록 설계된 머신러닝 시스템이 갖는 위험을 평가하는 방법에 중점을 두고 있습니다. 이 표준의 강점 중 하나는 인공지능 기술이 도입됨에 따라 진화하는 기계 안전성의 복잡한 문제를 체계적으로 접근하는 데 있습니다. 또한, 인공지능 시스템이 예측 가능한 한계 내에서 작동할 때의 안전성을 강조함으로써, 기계 시스템의 설계자와 운영자가 해당 위험을 사전에 인식하고 대응할 수 있도록 합니다. 그러나 해당 표준은 지정된 한계를 넘어 작동하도록 설계된 AI 응용 프로그램 및 그로 인해 발생할 수 있는 예측 불가능한 효과에 대해서는 적용되지 않음을 분명히 하고 있습니다. 또한, SIST-TP CEN ISO/TR 22100-5:2022 문서는 AI 관련 안전 시스템, 예를 들어 안전 관련 센서나 제어 시스템의 안전 관련 부품에 대해서는 다루지 않음을 명확히 하여, 사용자가 필요한 정보를 정확히 판단할 수 있도록 돕고 있습니다. 이와 같은 사항들은 표준의 적용 범위를 명확히 하고, 관련 기술을 사용하는 업계에 실질적인 지침을 제공합니다. 결론적으로, SIST-TP CEN ISO/TR 22100-5:2022 표준은 인공지능 및 머신러닝이 기계 안전성에 미치는 영향을 체계적으로 이해하고 관리하는 데 필수적인 자료로서, 기계 시스템의 설계와 운영에 있어 매우 중요한 참고 자료로 자리매김하고 있습니다.
Die Norm SIST-TP CEN ISO/TR 22100-5:2022 bietet einen umfangreichen Überblick über die Sicherheitsaspekte von Maschinen im Zusammenhang mit künstlicher Intelligenz (KI) und maschinellem Lernen. Sie befasst sich spezifisch mit den Auswirkungen dieser Technologien auf die Sicherheit von Maschinen und Maschinensystemen. Die Norm erkennt an, dass KI-gestützte Anwendungen in der Industrie erhebliche Risiken mit sich bringen können, die im Rahmen der Risikobewertung betrachtet werden müssen. Eine der Stärken dieser Norm ist ihr klar definierter Anwendungsbereich. Sie legt fest, dass sie sich auf Maschinen oder Maschinensysteme bezieht, die mit KI-Anwendungen und maschinellem Lernen innerhalb spezifischer, festgelegter Grenzen konzipiert wurden. Dies hilft dabei, einen klaren Rahmen für die Bewertung und das Management von Risiken zu schaffen, die aus dem Einsatz solcher Technologien resultieren. Die Dokumentation hebt hervor, wie entscheidend es ist, potenzielle Gefahren im Zusammenhang mit KI zu identifizieren und zu bewerten. Ein weiterer relevanter Punkt ist die Ausschlussklausel, die darauf hinweist, dass diese Norm nicht für Maschinen oder Systeme gilt, die KI dazu verwenden, über die festgelegten Grenzen hinaus zu agieren, da dies zu unvorhersehbaren Effekten führen kann. Dieser Fokus auf vorhersagbare und kontrollierte Einsatzmöglichkeiten von KI in Maschinensystemen unterstreicht die Bedeutung von Sicherheitsstandards in der Entwicklung moderner Technologien. Die Norm behandelt nicht Sicherheitssysteme mit KI, wie beispielsweise sicherheitsrelevante Sensoren oder andere sicherheitsbezogene Teile von Steuerungssystemen. Dies zeigt eine klare Abgrenzung und ermöglicht es dem Anwender, gezielt Ressourcen auf die relevanten Bereiche der Risikoanalyse in Bezug auf KI-Anwendungen zu konzentrieren. Insgesamt ist die SIST-TP CEN ISO/TR 22100-5:2022 von großer Relevanz für Unternehmen, die KI und maschinelles Lernen in ihren Maschinen und Systemen implementieren wollen. Sie bietet eine wertvolle Grundlage für die Entwicklung sicherer Vorgehensweisen im Umgang mit diesen Technologien, unterstützt mit spezifischen Richtlinien zur Risikobewertung und -management. Die Norm stellt somit sicher, dass innovative Technologien auch unter Sicherheitsaspekten verantwortungsvoll eingesetzt werden können.
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