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Keeping Control on Deep Learning Image Recognition Algorithms

In: Advanced Digital Auditing

Author

Listed:
  • Tjitske Jager

    (3Angles Audit, Risk and Compliance)

  • Eric Westhoek

    (Achmea)

Abstract

In this chapter a framework is presented to control machine learning applications. This framework is based on the case of a major insurance company that applied a machine learning application to supports damage reports after a major hailstorm. This hailstorm caused severe damage to greenhouses in two provinces in the Netherlands. The study concludes that the internal control framework of the Courts of Audit presented in chapter “Understanding Algorithms” provides a solid basis for risk management. Furthermore, several additional risk areas are presented.

Suggested Citation

  • Tjitske Jager & Eric Westhoek, 2023. "Keeping Control on Deep Learning Image Recognition Algorithms," Progress in IS, in: Egon Berghout & Rob Fijneman & Lennard Hendriks & Mona de Boer & Bert-Jan Butijn (ed.), Advanced Digital Auditing, pages 121-148, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-11089-4_6
    DOI: 10.1007/978-3-031-11089-4_6
    as

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