Telematics-Based Motor Insurance in the United Kingdom: An Analysis of Non-Disclosure, Policy Cancellation, and Consumer Trust in "Black Box" Systems

Abstract

Usage-based insurance (UBI), commonly known as "black box" or telematics insurance, has become an increasingly prominent feature of the United Kingdom motor insurance market, particularly for novice and high-risk drivers seeking affordable premiums. While the technology promises more accurate risk pricing and safer driving outcomes, it has simultaneously generated significant consumer friction relating to policy cancellation, non-disclosure obligations, and perceived algorithmic unfairness. This paper synthesises academic literature on telematics-based insurance with a qualitative thematic analysis of anonymised, publicly available consumer discourse and UK insurance industry guidance to examine how policyholders experience, and are affected by, black box systems. Five dominant themes are identified: perceived opacity of behavioural scoring; contextual misclassification of driving events; the disproportionate long-term consequences of policy cancellation, including mandatory future disclosure; technical unreliability of telematics hardware; and divergent trust levels between "premium" and "budget" insurers. The findings suggest that while telematics insurance can reduce information asymmetry between insurers and policyholders, as documented in prior economic and actuarial research, it simultaneously introduces new forms of asymmetry rooted in algorithmic non-transparency. The paper concludes with implications for insurer practice, regulatory oversight by the Financial Conduct Authority, and directions for future research into consumer trust and fairness perceptions in algorithmic insurance pricing.

Keywords: telematics insurance, usage-based insurance, black box, policy cancellation, non-disclosure, consumer trust, United Kingdom