%0 Generic
%A Alfrink, Kars
%A Keller, Ianus
%A Yurrita Semperena, Mireia 
%A Bulygin, Denis
%A Kortuem, Gerd
%A Doorn, Neelke
%D 2024
%T Data Underlying the Publication: Envisioning Contestability Loops
%U 
%R 10.4121/8eb71eb5-cc7f-4055-aba3-2e90812a940b.v1
%K artificial intelligence
%K contestability
%K generative metaphor
%K interaction design
%K public administration
%K visual explanations
%X <p>Data underlying the publication "Envisioning Contestability Loops: Evaluating the Agonistic Arena as a Generative Metaphor for Public AI."</p><p><br></p><p>In this study, we seek to make explicit the guiding ideas underpinning contestable AI research. We construct the generative metaphor of the Agonistic Arena from the political theory of agonistic pluralism. We combine this metaphor and current contestable AI guidelines into an infographic supporting the early-stage concept design of public AI system contestability mechanisms. We evaluate this infographic in five workshops paired with focus groups with a total of 18 practitioners, yielding ten concept designs. Our findings describe mechanisms for contestability proposed by these concept designs. Building on these findings, we subsequently evaluate the efficacy of the Agonistic Arena as a generative metaphor for the design of public AI and identify two competing metaphors at play in this space: the Black Box and the Sovereign.</p><p><br></p><p>The TU Delft Human Research Ethics Committee approved this study.</p><p><br></p><p>The data consists of:</p><ol><li>Scans of concept design sketches made by workshop participants (PDF)</li><li>Transcripts of audio recordings of participants' verbal descriptions of their concept designs (TXT)</li><li>Workshop schedule (PDF)</li><li>Concept design summaries (PDF)</li><li>Creative brief (PDF)</li><li>Focus group guide (PDF)</li><li>Workshop schedule (PDF)</li></ol>
%I 4TU.ResearchData