Adversarial Artificial Intelligence in Insurance: From an Example to Some Potential Remedies

Artificial intelligence (AI) is a tool that financial intermediaries and insurance companies use or are willing to use in almost all their activities. AI can have a positive impact on almost all aspects of the insurance value chain: pricing, underwriting, marketing, claims management, and after-sale...

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Bibliographic Details
Published in:	Risks (Basel) Vol. 11; no. 1; p. 20
Main Authors:	Amerirad, Behnaz, Cattaneo, Matteo, Kenett, Ron S., Luciano, Elisa
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01-01-2023
Subjects:	adversarial AI AI in insurance Algorithms Artificial intelligence Chatbots Corruption Customers Fraud prevention Health insurance Insurance companies Insurance fraud Machine learning machine learning in insurance (ML) Underwriting Europe
Online Access:	Get full text
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Summary:	Artificial intelligence (AI) is a tool that financial intermediaries and insurance companies use or are willing to use in almost all their activities. AI can have a positive impact on almost all aspects of the insurance value chain: pricing, underwriting, marketing, claims management, and after-sales services. While it is very important and useful, AI is not free of risks, including those related to its robustness against so-called adversarial attacks, which are conducted by external entities to misguide and defraud the AI algorithms. The paper is designed to review adversarial AI and to discuss its implications for the insurance sector. We give a taxonomy of adversarial attacks and present an original, fully fledged example of claims falsification in health insurance, as well as some remedies which are consistent with the current regulatory framework.
ISSN:	2227-9091 2227-9091
DOI:	10.3390/risks11010020