Implications of embedded artificial intelligence - machine learning on safety of machinery
The Artificial Intelligence (AI) and the Machine Learning (ML) is a rapidly evolving technology and up until recently has not been a subject of machinery safety. The purpose of this work is to evaluate how embedded artificial intelligence – machine learning can affect the safety of machinery and mac...
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| Published in | Procedia computer science Vol. 180; pp. 338 - 343 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
2021
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| Abstract | The Artificial Intelligence (AI) and the Machine Learning (ML) is a rapidly evolving technology and up until recently has not been a subject of machinery safety. The purpose of this work is to evaluate how embedded artificial intelligence – machine learning can affect the safety of machinery and machinery systems in the development of their applications. This work can be useful to machinery designers to develop their particular applications as it describes how the new hazards, associated with embedded AI – ML, should be considered within the framework of the risk assessment process. The proposed study underlines the new dimension of complexity linked to artificial intelligence and machine learning that could lead to a revision of European legislation in terms of the introduction and/or modification of essential health and safety requirements (EHSR) in the Machinery Directive, in order to guarantee safety levels at least equivalent to those currently achieved. |
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| AbstractList | The Artificial Intelligence (AI) and the Machine Learning (ML) is a rapidly evolving technology and up until recently has not been a subject of machinery safety. The purpose of this work is to evaluate how embedded artificial intelligence – machine learning can affect the safety of machinery and machinery systems in the development of their applications. This work can be useful to machinery designers to develop their particular applications as it describes how the new hazards, associated with embedded AI – ML, should be considered within the framework of the risk assessment process. The proposed study underlines the new dimension of complexity linked to artificial intelligence and machine learning that could lead to a revision of European legislation in terms of the introduction and/or modification of essential health and safety requirements (EHSR) in the Machinery Directive, in order to guarantee safety levels at least equivalent to those currently achieved. |
| Author | Anastasi, Sara Monica, Luigi Madonna, Marianna |
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| Cites_doi | 10.1016/j.promfg.2020.02.029 10.1007/978-3-319-22689-7_46 10.5120/20182-2402 10.1016/j.mfglet.2018.09.002 10.1109/COMST.2020.2988293 10.15866/iremos.v9i4.9688 |
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| Keywords | Safety of machinery Machine Learning Artificial Intelligence Machinery Directive |
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| References_xml | – reference: ISO/IEC 2382:2015. Information technology — Vocabulary. – reference: EN 62061:2005 - Safety of machinery - Functional safety of safety-related electrical, electronic and programmable electronic control systems. – volume: 174 start-page: 163 year: 2018 end-page: 168 ident: bib0006 article-title: “Evolution of European product directives in perspective of industry 4.0” publication-title: WIT Transactions on Built Environment – reference: European Commission. Technical Report on Robustness and Explainability of Artificial Intelligence. 2020. – volume: 115 start-page: 31 year: 2015 end-page: 41 ident: bib0004 article-title: “Applications of Artificial Intelligence in Machine Learning: Review and Prospect” publication-title: International Journal of Computer Applications – reference: Markis Alexandra, Papa Maximilian, Kaselautzke David, Rathmair Michael, Sattinger Vinzenz, Brandst Mathias. 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| Title | Implications of embedded artificial intelligence - machine learning on safety of machinery |
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