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  4. Applying Concept-Based Models for Enhanced Safety Argumentation - Summary
 
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2025
Conference Paper
Title

Applying Concept-Based Models for Enhanced Safety Argumentation - Summary

Abstract
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).
Author(s)
Costa de Araujo, João Paulo
Humboldt-Universität zu Berlin
Balu, Balahari
Fraunhofer-Institut für Kognitive Systeme IKS  
Reichmann, Eik
Humboldt-Universität zu Berlin  
Kelly, Jessica
Fraunhofer-Institut für Kognitive Systeme IKS  
Kugele, Stefan
Technische Hochschule Ingolstadt
Mata, Núria
Fraunhofer-Institut für Kognitive Systeme IKS  
Grunske, Lars
Humboldt-Universität zu Berlin  
Mainwork
Software Engineering 2025  
Project(s)
Integrierte Entwicklung und Betrieb von sicheren Automotive-Systemen  
Funder
Bundesministerium für Bildung und Forschung -BMBF-  
Conference
Fachtagung Software Engineering 2025  
DOI
10.18420/se2025-18
Language
English
Fraunhofer-Institut für Kognitive Systeme IKS  
Fraunhofer Group
Fraunhofer-Verbund IUK-Technologie  
Keyword(s)
  • concept bottleneck model

  • semantic gap

  • safety

  • safety assurance

  • interpretability

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