Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Explaining automated decision-making : a multinational study of the GDPR right to meaningful information

Dexe, Jacob ; Franke, Ulrik ; Söderlund, Kasia LU ; Niels, van Berkel ; Hagensby Jensen, Rikke ; Lepinkäinen, Nea and Vaiste, Juho (2022) In Geneva papers on risk and insurance. Issues and practice 47. p.669-697
Abstract
The General Data Protection Regulation (GDPR) establishes a right for individuals to get access to information about automated decision-making based on their personal data. However, the application of this right comes with caveats. This paper investigates how European insurance companies have navigated these obstacles. By recruiting volunteering insurance customers, requests for information about how insurance premiums are set were sent to 26 insurance companies in Denmark, Finland, The Netherlands, Poland and Sweden. Findings illustrate the practice of responding to GDPR information requests and the paper identifies possible explanations for shortcomings and omissions in the responses. The paper also adds to existing research by showing... (More)
The General Data Protection Regulation (GDPR) establishes a right for individuals to get access to information about automated decision-making based on their personal data. However, the application of this right comes with caveats. This paper investigates how European insurance companies have navigated these obstacles. By recruiting volunteering insurance customers, requests for information about how insurance premiums are set were sent to 26 insurance companies in Denmark, Finland, The Netherlands, Poland and Sweden. Findings illustrate the practice of responding to GDPR information requests and the paper identifies possible explanations for shortcomings and omissions in the responses. The paper also adds to existing research by showing how the wordings in the different language versions of the GDPR could lead to different interpretations. Finally, the paper discusses what can reasonably be expected from explanations in consumer oriented information. (Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Geneva papers on risk and insurance. Issues and practice
volume
47
pages
669 - 697
publisher
Palgrave Macmillan
external identifiers
  • scopus:85129328785
ISSN
1018-5895
DOI
10.1057/s41288-022-00271-9
language
English
LU publication?
yes
id
3d9c0727-0903-4aeb-a449-6d44768ea409
date added to LUP
2022-06-21 10:35:07
date last changed
2022-08-27 01:38:56
@article{3d9c0727-0903-4aeb-a449-6d44768ea409,
  abstract     = {{The General Data Protection Regulation (GDPR) establishes a right for individuals to get access to information about automated decision-making based on their personal data. However, the application of this right comes with caveats. This paper investigates how European insurance companies have navigated these obstacles. By recruiting volunteering insurance customers, requests for information about how insurance premiums are set were sent to 26 insurance companies in Denmark, Finland, The Netherlands, Poland and Sweden. Findings illustrate the practice of responding to GDPR information requests and the paper identifies possible explanations for shortcomings and omissions in the responses. The paper also adds to existing research by showing how the wordings in the different language versions of the GDPR could lead to different interpretations. Finally, the paper discusses what can reasonably be expected from explanations in consumer oriented information.}},
  author       = {{Dexe, Jacob and Franke, Ulrik and Söderlund, Kasia and Niels, van Berkel and Hagensby Jensen, Rikke and Lepinkäinen, Nea and Vaiste, Juho}},
  issn         = {{1018-5895}},
  language     = {{eng}},
  month        = {{05}},
  pages        = {{669--697}},
  publisher    = {{Palgrave Macmillan}},
  series       = {{Geneva papers on risk and insurance. Issues and practice}},
  title        = {{Explaining automated decision-making : a multinational study of the GDPR right to meaningful information}},
  url          = {{http://dx.doi.org/10.1057/s41288-022-00271-9}},
  doi          = {{10.1057/s41288-022-00271-9}},
  volume       = {{47}},
  year         = {{2022}},
}