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...
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| Veröffentlicht in: | 2018 IEEE ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS) S. 47 - 49 |
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| Hauptverfasser: | , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY, USA
ACM
28.05.2018
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| Schriftenreihe: | ACM Conferences |
| Schlagworte: | |
| ISBN: | 1450357393, 9781450357395, 9781538662618, 1538662612 |
| Online-Zugang: | Volltext |
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