How to certify machine learning based safety-critical systems? A systematic literature review
How to certify machine learning based safety-critical systems? A systematic literature review
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Context
Machine Learning (ML) has been at the heart of many innovations over the past years. However, including it in so-called “safety-critical” systems such as automotive or aeronautic has proven to be very challenging, since the shift in paradigm that ML brings completely changes traditional certification approaches.
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This pape...
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Full title
How to certify machine learning based safety-critical systems? A systematic literature review
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Record Identifier
TN_cdi_hal_primary_oai_HAL_hal_04194063v1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_04194063v1
Other Identifiers
ISSN
0928-8910
E-ISSN
1573-7535
DOI
10.1007/s10515-022-00337-x
