Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Explaining automated decision-making: a multinational study of the GDPR right to meaningful information
RISE Research Institutes of Sweden, Digital Systems, Prototyping Society. KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0003-0738-2737
RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems. KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0003-2017-7914
Lund University, Sweden.
Aalborg University, Denmark.
Show others and affiliations
2022 (English)In: Geneva papers on risk and insurance. Issues and practice, ISSN 1018-5895, E-ISSN 1468-0440, Vol. 47, no 3, p. 669-697Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2022. Vol. 47, no 3, p. 669-697
Keywords [en]
GDPR, Right of access, Meaningful information, Transparency, Insurance, Automated decision-making
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:ri:diva-59313DOI: 10.1057/s41288-022-00271-9Scopus ID: 2-s2.0-85129328785OAI: oai:DiVA.org:ri-59313DiVA, id: diva2:1665612
Projects
TALFÖR
Funder
Länsförsäkringar AB, No. P4/18Available from: 2022-06-07 Created: 2022-06-07 Last updated: 2023-06-08Bibliographically approved

Open Access in DiVA

fulltext(944 kB)120 downloads
File information
File name FULLTEXT01.pdfFile size 944 kBChecksum SHA-512
ae8bc7ac6fe8562f86f6b5df8ea81173ae351d31ff4660beef71f3685088f3f9bd2614be386d806ea855cfd23a554eb2931dfd44719172911088299539ec94ad
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Dexe, JacobFranke, Ulrik

Search in DiVA

By author/editor
Dexe, JacobFranke, Ulrik
By organisation
Prototyping SocietyMobility and Systems
In the same journal
Geneva papers on risk and insurance. Issues and practice
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar
Total: 120 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 226 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf