1. AI, insurance, discrimination and unfair differentiation. An overview and research agenda
- Author
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van Bekkum, Marvin S. L., Borgesius, Frederik J. Zuiderveen, and Heskes, Tom
- Subjects
Computer Science - Computers and Society - Abstract
Insurers underwrite risks: they calculate risks and decide on the insurance premium. Insurers seem captivated by two trends. (i) First, insurers could use AI for analysing more and new types of data to assess risks more precisely: data-intensive underwriting. (ii) Second, insurers could use AI to monitor the behaviour of individual consumers in real-time: behaviour-based insurance. For example, some car insurers offer a discount if the consumer agrees to being tracked by the insurer and drives safely. While the two trends bring many advantages, they may also have discriminatory effects on society. This paper focuses on the following question. Which effects related to discrimination and unfair differentiation may occur if insurers follow data-intensive underwriting and behaviour-based insurance?
- Published
- 2024