Data Underlying the Publication: Contestable AI by Design: Towards a Framework

doi:10.4121/15350118.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/15350118
Datacite citation style:
Alfrink, Kars; Keller, Ianus; Kortuem, Gerd; Doorn, Neelke (2022): Data Underlying the Publication: Contestable AI by Design: Towards a Framework. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/15350118.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Data and materials that accompany the article "Contestable AI by Design: Towards A Framework". Consists of an export of articles with inclusion decisions and reasons from systematic review software Rayyan; and an export of the codebook from qualitative analysis software Atlas.ti.


Files appended with "-revision" relate to major revision of the original manuscript.

history
  • 2022-08-16 first online, published, posted
publisher
4TU.ResearchData
format
Codebooks as Microsoft Excel (.xlsx), quotations by code as Microsoft Word (.doc), and lists of articles with inclusion decision as comma-separated values (.csv).
associated peer-reviewed publication
Contestable AI by Design: Towards a Framework
funding
  • BRIdging Data in the built Environment (BRIDE) (grant code CISC.CC.018) [more info...] Dutch Research Council
organizations
TU Delft, Faculty of Industrial Design Engineering, Department of Sustainable Design Engineering (SDE)

DATA

files (6)