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    <title language="eng">Applying Concept-Based Models for Enhanced Safety Argumentation – Summary</title>
    <abstract language="eng">In this extended abstract we summarize our work on using Concept Bottleneck Models (CBMs) for an enhanced safety argumentation of vision-based Machine Learning (ML) perception components in safety critical systems. This paper has been published at the International Symposium on Software Reliability Engineering (ISRRE’24)</abstract>
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