TY - DATA T1 - Data Underlying the Publication: Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute PY - 2023/04/20 AU - Kars Alfrink AU - Ianus Keller AU - Neelke Doorn AU - Gerd Kortuem UR - https://data.4tu.nl/articles/dataset/_/21253317 DO - 10.4121/21253317.v1 KW - artificial intelligence KW - automated decision-making KW - camera cars KW - contestability KW - local government KW - machine learning KW - public administration KW - public AI KW - speculative design KW - urban AI N2 -

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:

  1. Concept video design brief (PDF)
  2. Concept video script (PDF)
  3. Concept video storyboards (PNG)
  4. Concept video (MP4)
  5. Expert assessment interview guide (PDF)
  6. Expert assessment grading form (PDF)
  7. Expert assessment completed grading forms (PDF)
  8. Expert assessment tabulated scores (XLSX)
  9. Expert assessment informal analysis report (PDF)
  10. Civil servant interviews guide (PDF)
  11. Civil servant interviews summaries (TXT)
  12. Civil servant interviews code book (PDF)
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