"Integral system safety for machine learning in the public sector: An ..."

Jeroen Delfos et al. (2024)

> Home

Details and statistics

DOI: 10.1016/J.GIQ.2024.101963

access: closed

type: Journal Article

metadata version: 2024-09-01

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/giq/DelfosECCD24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/giq/DelfosECCD24
Jeroen Delfos, Anneke Zuiderwijk-van Eijk, Sander van Cranenburgh, Caspar G. Chorus, Roel I. J. Dobbe:
Integral system safety for machine learning in the public sector: An empirical account. Gov. Inf. Q. 41(3): 101963 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.