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A Checklist for Explainable AI in the Insurance Domain

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Quality of Information and Communications Technology (QUATIC 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1439))

Abstract

Artificial intelligence (AI) is a powerful tool to accomplish a great many tasks. This exciting branch of technology is being adopted increasingly across varying sectors, including the insurance domain. With that power arise several complications. One of which is a lack of transparency and explainability of an algorithm for experts and non-experts alike. This brings into question both the usefulness as well as the accuracy of the algorithm, coupled with an added difficulty to assess potential biases within the data or the model. In this paper, we investigate the current usage of AI algorithms in the Dutch insurance industry and the adoption of explainable artificial intelligence (XAI) techniques. Armed with this knowledge we design a checklist for insurance companies that should help assure quality standards regarding XAI and a solid foundation for cooperation between organisations. This checklist extends an existing checklist that SIVI, the standardisation institute for digital cooperation and innovation in Dutch insurance.

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Notes

  1. 1.

    The Checklist-KOAT can be found at https://www.sivi.org/checklist-koat/.

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Author information

Authors and Affiliations

  1. LIACS, Leiden University, Leiden, The Netherlands

    Olivier Koster & Joost Visser

  2. SIVI, Utrecht, The Netherlands

    Ruud Kosman

  3. InnoValor, Enschede, The Netherlands

    Ruud Kosman

Authors
  1. Olivier Koster
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  2. Ruud Kosman
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  3. Joost Visser
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Editor information

Editors and Affiliations

  1. Faculty of Engineering of the University of Porto, Porto, Portugal

    Ana C. R. Paiva

  2. Institut Polytechnique de Paris, Paris, France

    Ana Rosa Cavalli

  3. University of Algarve, Faro, Portugal

    Paula Ventura Martins

  4. University of Castila-La Mancha, Ciudad Real, Ciudad Real, Spain

    Ricardo Pérez-Castillo

Appendix: Checklist for AI in Insurance Applications

Appendix: Checklist for AI in Insurance Applications

figure a

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Koster, O., Kosman, R., Visser, J. (2021). A Checklist for Explainable AI in the Insurance Domain. In: Paiva, A.C.R., Cavalli, A.R., Ventura Martins, P., Pérez-Castillo, R. (eds) Quality of Information and Communications Technology. QUATIC 2021. Communications in Computer and Information Science, vol 1439. Springer, Cham. https://doi.org/10.1007/978-3-030-85347-1_32

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  • DOI: https://doi.org/10.1007/978-3-030-85347-1_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85346-4

  • Online ISBN: 978-3-030-85347-1

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