功能安全本体中机器学习安全功能的集成

M. Kieviet, Padma Iyenghar
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摘要

当人工智能(AI)/机器学习(ML)被引入功能安全领域时,安全意识是极其重要的。本文提出了一种将机器学习开发过程的特点及其特殊性纳入功能安全工程过程及其可靠性要求的共识的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration of Machine Learning Safety Functions in the Ontology of Functional Safety
Safety awareness is extremely important when Artificial Intelligence (AI)/Machine Learning (ML) is introduced in the functional safety domain. This paper shows a way to bring the characteristics of the ML development process as well as their particular characteristics into a consensus of the engineering process of functional safety and its reliability requirements.
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