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Implementing Artificial Intelligence Ethics in Trustworthy System Development - Making AI Ethics a Business Case

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Product-Focused Software Process Improvement (PROFES 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13709))

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Abstract

Software businesses struggle to implement AI ethics or ethical requirements in their development and engineering of AI. Current tools mainly focus on the technical level, with scarce resources identified for the different groups across software business organizations. This study focuses on developing a proposed solution, the ethical requirement stack, as a toolkit software businesses can leverage to implement ethical requirements. The tool aims to improve the understanding and visibility of AI ethics by serving as a go-to in interpreting AI ethics guidelines, thereby reducing the gap in transitioning AI ethics from principles to practice.

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Authors and Affiliations

  1. University of Jyväskylä, Seminaarinkatu 15, 40014, Jyväskylä, Finland

    Mamia Agbese

Authors
  1. Mamia Agbese
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Correspondence to Mamia Agbese .

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Editors and Affiliations

  1. Tampere University, Tampere, Finland

    Davide Taibi

  2. Reutlingen University, Reutlingen, Germany

    Marco Kuhrmann

  3. University of Jyväskylä, Jyväskylä, Finland

    Tommi Mikkonen

  4. Leibniz University Hannover, Hannover, Germany

    Jil Klünder

  5. University of Jyväskylä, Jyväskylä, Finland

    Pekka Abrahamsson

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Agbese, M. (2022). Implementing Artificial Intelligence Ethics in Trustworthy System Development - Making AI Ethics a Business Case. In: Taibi, D., Kuhrmann, M., Mikkonen, T., Klünder, J., Abrahamsson, P. (eds) Product-Focused Software Process Improvement. PROFES 2022. Lecture Notes in Computer Science, vol 13709. Springer, Cham. https://doi.org/10.1007/978-3-031-21388-5_52

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  • DOI: https://doi.org/10.1007/978-3-031-21388-5_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21387-8

  • Online ISBN: 978-3-031-21388-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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