Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

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

Version 1 : Received: 7 October 2022 / Approved: 11 October 2022 / Online: 11 October 2022 (15:44:36 CEST)

A peer-reviewed article of this Preprint also exists.

Amerirad, B.; Cattaneo, M.; Kenett, R.S.; Luciano, E. Adversarial Artificial Intelligence in Insurance: From an Example to Some Potential Remedies. Risks 2023, 11, 20. Amerirad, B.; Cattaneo, M.; Kenett, R.S.; Luciano, E. Adversarial Artificial Intelligence in Insurance: From an Example to Some Potential Remedies. Risks 2023, 11, 20.

Abstract

Artificial intelligence (AI) is a tool that financial intermediaries and insurance companies use in most cases or are willing to use it 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, after-sales services. While it is very important and useful, AI is not free of risks, including its robustness against cyber-attacks and so-called adversarial attacks. Adversarial attacks are conducted by external entities to misguide and defraud the AI algorithms. The paper is designed to provide a review of adversarial AI and discuss its implications for the insurance sector. The study starts with a taxonomy of adversarial attacks and presents a fully-fledged example of claims falsification in health insurance. Some remedies, consistent with the current regulatory framework, are presented.

Keywords

AI; insurance; adversarial attacks

Subject

Business, Economics and Management, Finance

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.