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An Approach to the Instantiation of the EU AI Act: A Level of Done Derivation and a Case Study from the Automotive Domain

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Systems, Software and Services Process Improvement (EuroSPI 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1890))

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Abstract

Based on the EU AI Act draft from November 2022 a team of data scientists, quality managers and legal experts set out to instantiate the AI Act for their project domain. To focus on the product and service relevant parts of the extensive EU Act, the Level of Done (LoD) layer approach was applied. Based on this LoD layer for the AI Act an evaluation was initiated with ongoing Machine Learning (ML) projects. This case study describes the method and approach on how the instantiation was done and provides a first insight into the LoD-application from an engineering perspective.

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Author information

Authors and Affiliations

  1. Cariad SE, Berliner Ring 2, 38440, Wolfsburg, Germany

    Fabian Hüger, Andreas Wittmann & Roland Walgenbach

  2. Volkswagen AG, Berliner Ring 2, 38440, Wolfsburg, Germany

    Alexander Poth

Authors
  1. Fabian Hüger
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  2. Alexander Poth
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  3. Andreas Wittmann
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  4. Roland Walgenbach
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Corresponding author

Correspondence to Fabian Hüger .

Editor information

Editors and Affiliations

  1. Gazi University, Ankara, Türkiye

    Murat Yilmaz

  2. Dublin City University, Dublin, Ireland

    Paul Clarke

  3. Grenoble Alpes University, Grenoble, France

    Andreas Riel

  4. I.S.C.N. GesmbH, Graz, Austria

    Richard Messnarz

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Hüger, F., Poth, A., Wittmann, A., Walgenbach, R. (2023). An Approach to the Instantiation of the EU AI Act: A Level of Done Derivation and a Case Study from the Automotive Domain. In: Yilmaz, M., Clarke, P., Riel, A., Messnarz, R. (eds) Systems, Software and Services Process Improvement. EuroSPI 2023. Communications in Computer and Information Science, vol 1890. Springer, Cham. https://doi.org/10.1007/978-3-031-42307-9_9

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  • DOI: https://doi.org/10.1007/978-3-031-42307-9_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42306-2

  • Online ISBN: 978-3-031-42307-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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