Abstract
Abstract‘Telematics’ insurance is an example of data driven innovation in the insurance industry where data obtained from the vehicle (such as speed, time and location) is used to provide consumers with premiums based on their actual driving behavior. Despite the many benefits including more accurate risk assessments and premium setting, there are serious privacy concerns about the increased use of vehicle data for insurance purposes. The information requirements of the GDPR and the IDD could address some of these concerns in the context of telematics insurance. This research chapter concludes the analysis of the scope of these requirements by proposing the need for a broad interpretation for information to be made available in order to effectively help consumers make better, well informed decisions about insurance products and use of their personal data for insurance purposes.
Publisher
Springer International Publishing
Reference65 articles.
1. Acquisti A, Brandimarte L, Loewenstein G (2015) Privacy and human behavior in the age of information. Science 347(6221):509–514
2. Article 29 Data Protection Working Party (2017) Guidelines on the Right to Data Portability, 16/EN WP 242 rev.01
3. Barone G, Bella M (2004) Price-elasticity based customer segmentation in the Italian auto insurance market. J Target Meas Anal Mark 13:21–31
4. Birrell S, Fowkes M, Jennings P (2014) Effect of using an in-vehicle smart driving aid on real-world driver performance intelligent transportation systems. IEEE Trans 15(4):1801–1810
5. Bordoff J, Noel PJ (2008) Pay-as-you-drive auto insurance: a simple way to reduce driving related harms and increase equity. The Brookings Institution, Washington, DC
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