  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 of SIVI, the standardisation institute for digital
cooperation and innovation in Dutch insurance.
