Data Underlying the Publication: Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute
DOI:10.4121/21253317.v1
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DOI: 10.4121/21253317
DOI: 10.4121/21253317
Datacite citation style
Alfrink, Kars; Keller, Ianus; Doorn, Neelke; Kortuem, Gerd (2023): Data Underlying the Publication: Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21253317.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Data and materials that accompany the paper "Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute".
Applying a provisional framework for contestable AI, we use speculative design to create a concept video of a contestable camera car. Using this concept video, we then conduct semi-structured interviews with 17 civil servants who work with AI employed by a large northwestern European city. The resulting data is analyzed using reflexive thematic analysis to identify the main challenges facing the implementation of contestability in public AI.
This study was approved by TU Delft Human Research Ethics Committee.
The data consists of:
- Concept video design brief (PDF)
- Concept video script (PDF)
- Concept video storyboards (PNG)
- Concept video (MP4)
- Expert assessment interview guide (PDF)
- Expert assessment grading form (PDF)
- Expert assessment completed grading forms (PDF)
- Expert assessment tabulated scores (XLSX)
- Expert assessment informal analysis report (PDF)
- Civil servant interviews guide (PDF)
- Civil servant interviews summaries (TXT)
- Civil servant interviews code book (PDF)
History
- 2023-04-20 first online, published, posted
Publisher
4TU.ResearchDataFormat
*.mp4; *.pdf; *.png; *.txt; *.xlsxAssociated peer-reviewed publication
Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to DisputeFunding
- 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 (41)
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