The Role of Explainability in Assuring Safety of Machine Learning in Healthcare
Established approaches to assuring safety-critical systems and software are difficult to apply to systems employing ML where there is no clear, pre-defined specification against which to assess validity. This problem is exacerbated by the opaque nature of ML where the learnt model is not amenable to...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE Computer Society
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |