确保安全关键机器学习支持系统:挑战与前景

2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2022-10-01 DOI:10.1109/ISSREW55968.2022.00088

Alwyn E. Goodloe

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引用次数: 0

摘要

机器学习越来越多地用于安全关键系统，在这些系统中，公共安全需要严格的保证流程。我们将概述保证流程如何在传统系统中工作，并确定将其应用于机器学习系统的主要困难。然后，我们将概述一条前进的道路，包括确定哪些地方还需要进行大量的基础研究。

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Assuring Safety-Critical Machine Learning Enabled Systems: Challenges and Promise

Machine learning is increasingly being used in safety-critical systems, where the public safety requires a rigorous assurance process. We shall outline how assurance processes work for conventional systems and identify the primary difficulty in applying them to machine learning enabled systems. We will then outline a path forward including identifying where considerable basic research remains.

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2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)

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