@inproceedings{CostadeAraujoBaluReichmannetal.2025, author = {Costa de Araujo, Jo{\~a}o Paulo and Balu, Balahari Vignesh and Reichmann, Eik and Kelly, Jessica and Kugele, Stefan and Mata, N{\´u}ria and Grunske, Lars}, title = {Applying Concept-Based Models for Enhanced Safety Argumentation - Summary}, booktitle = {Software Engineering 2025: Proceedings}, editor = {Koziolek, Anne and Lamprecht, Anna-Lena and Th{\"u}m, Thomas and Burger, Erik}, publisher = {Gesellschaft f{\"u}r Informatik}, address = {Bonn}, issn = {2944-7682}, doi = {https://doi.org/10.18420/se2025-18}, pages = {65 -- 66}, year = {2025}, 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)}, language = {en} }