Creating ethics guidelines for artificial intelligence and big data analytics customers: The case of the consumer European insurance market

Martin Mullins, Christopher P. Holland, Martin Cunneen

Research output: Contribution to journalArticlepeer-review

Abstract

The European Union (EU) has a strong reputation and track record for the development of guidelines for the ethical use of artificial intelligence (AI) generally. In this paper, we discuss the development of an AI and ethical framework by the European Insurance and Occupational Pensions Authority (EIOPA), for the European insurance market. EIOPA's earlier report on big data analytics (EIOPA, 2019) provided a foundation to analyze the complex range of issues associated with AI being deployed in insurance, such as behavioral insurance, parametric products, novel pricing and risk assessment algorithms, e-service, and claims management. The paper presents an overview of AI in insurance applications throughout the insurance value chain. A general discussion of ethics, AI, and insurance is provided, and a new hierarchical model is presented that describes insurance as a complex system that can be analyzed by taking a layered, multi-level approach that maps ethical issues directly to specific level(s).

Original languageEnglish
Article number100362
Pages (from-to)100362
JournalPatterns
Volume2
Issue number10
DOIs
Publication statusPublished - 8 Oct 2021
Externally publishedYes

Keywords

  • AI
  • AI ethics
  • AI governance
  • AI regulation
  • DSML 2: Proof-of-Concept: Data science output has been formulated, implemented, and tested for one domain/problem
  • InsurTech
  • data analytics
  • insurance
  • risk

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