Automotive safety and machine learning initial results from a study on how to adapt the ISO 26262 safety standard

Machine learning (ML) applications generate a continuous stream of success stories from various domains. ML enables many novel applications, also in safety-critical contexts. However, the functional safety standards such as ISO 26262 did not evolve to cover ML. We conduct an exploratory study on whi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:2018 IEEE ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS) S. 47 - 49
Hauptverfasser: Henriksson, Jens, Borg, Markus, Englund, Cristofer
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: New York, NY, USA ACM 28.05.2018
Schriftenreihe:ACM Conferences
Schlagworte:
ISBN:1450357393, 9781450357395, 9781538662618, 1538662612
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!