Data underlying the paper "Identifying Algorithmic Decision Subjects' Needs for Meaningful Contestability"
DOI: 10.4121/be171486-fe03-45fe-8d8b-22b4c81cd3a2
Datacite citation style
Dataset
This project characterizes decision subjects' information and procedural needs for meaningful contestability in an algorithmic decision-making process for policy enforcement. We interviewed 21 participants with experience renting their properties out as short-term rentals. We introduced a hypothetical algorithmic system for identifying illegal holiday rentals and informed participants that their property had been identified as an illegal holiday rental. Throughout the interviews we captured their needs to meaningfully contest the algorithmic decision and the decision-making process as a whole. The dataset includes:
- The pre-registration of the study
- The screening survey
- The interview protocol
- The prompts used as part of the interviews
History
- 2025-02-17 first online
- 2025-03-18 published, posted
Publisher
4TU.ResearchDataFormat
.pdfOrganizations
TU Delft, Faculty of Industrial Design Engineering, Department of Human-Centered DesignTU Delft, Faculty of Industrial Design Engineering, Department of Sustainable Design Engineering
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Software Technology
DATA
Files (9)
- 727 bytesMD5:
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README.txt - 317,797 bytesMD5:
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00Preregistration.pdf - 212,322 bytesMD5:
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01ScreeningSurvey.pdf - 85,873 bytesMD5:
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02InterviewProtocol.pdf - 408,466 bytesMD5:
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03Prompt1-News.pdf - 49,386 bytesMD5:
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04Prompt2-Letter.pdf - 57,872 bytesMD5:
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05Prompt3-InformationSheet.pdf - 202,756 bytesMD5:
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07Codebook.pdf - 100,968 bytesMD5:
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08ConsentForm.pdf -
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