Developing a framework for insurance underwriting expert system

Shlomo Berkovsky, Yaniv Eytani, Edward Furman, Udi Makov

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

The process of insurance underwriting determines whether insurance company will accept an application for insurance. It is a complex decision-making process and due to information overload problems, it becomes harder for the insurance
companies to efficiently estimate risks in a reasonable time. In this paper we present a framework of an expert system for insurance premium assessment. It combines various Artificial Intelligence techniques, both supervised and unsupervised learning. The proposed framework certainly does not pretend to
replace a human underwriter by an electronic one. Rather, it aims at producing viable estimations regarding the clients risk levels, allowing to speed-up the underwriting process and to utilize new potentials.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Informatics, ICI 2004
Pages191-197
Number of pages7
Publication statusPublished - 2004
Externally publishedYes
EventInternational Conference on Informatics - Cesme Izmir Turkey
Duration: 16 Sep 200420 Sep 2004

Conference

ConferenceInternational Conference on Informatics
CityCesme Izmir Turkey
Period16/09/0420/09/04

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