Toward a safe MLOps process for the continuous development and safety assurance of ML-based systems in the railway domain-Reference-Cited by-同舟云学术

Toward a safe MLOps process for the continuous development and safety assurance of ML-based systems in the railway domain

Published:2024-01-03 Issue:1 Volume:4 Page:123-130
ISSN:2730-5953
Container-title:AI and Ethics
language:en
Short-container-title:AI Ethics

Author:

Zeller Marc,Waschulzik Thomas,Schmid Reiner,Bahlmann Claus

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s43681-023-00392-4.pdf

Reference24 articles.

1. EASA. European Union Aviation Safety Agency (EASA) Concept Paper: First usable guidance for Level 1 machine learning applications. https://www.easa.europa.eu/en/downloads/134357/en (2021)

2. EN 50126-1:2018-10. Railway Applications – The Specification and Demonstration of Reliability, Availability, Maintainability and Safety (RAMS) - Part 1: Generic RAMS Process (2018)

3. EN 50128:2012-02. Railway Applications – Communication, signaling and processing systems – Software for railway control and protection systems (2012)

4. EN 50129:2019-06. Railway application – Communications, signaling and processing systems – Safety related electronic systems for signaling (2019)

5. EN 50657:2017-11. Railways Applications - Rolling stock applications - Software on Board Rolling Stock (2017)

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1. Approach for Argumenting Safety on Basis of an Operational Design Domain;Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI;2024-04-14

2. Continuous Development and Safety Assurance Pipeline for ML-Based Systems in the Railway Domain;Lecture Notes in Computer Science;2024