A Checklist for Explainable AI in the Insurance Domain

Autor:	Ruud Kosman, Joost Visser, Olivier Koster
Rok vydání:	2021
Předmět:	Knowledge management Computer science business.industry Transparency (graphic) media_common.quotation_subject Quality (business) business Insurance industry Checklist Domain (software engineering) media_common
Zdroj:	Communications in Computer and Information Science ISBN: 9783030853464 QUATIC
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1b66359e541f525cd1be31713f5b6a44 https://doi.org/10.1007/978-3-030-85347-1_32 Zobrazit plný text záznamu