Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute
February 09, 2023 Β· Declared Dead Β· π International Conference on Human Factors in Computing Systems
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Authors
Kars Alfrink, Ianus Keller, Neelke Doorn, Gerd Kortuem
arXiv ID
2302.04603
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.CY,
cs.LG
Citations
47
Venue
International Conference on Human Factors in Computing Systems
Last Checked
3 months ago
Abstract
Local governments increasingly use artificial intelligence (AI) for automated decision-making. Contestability, making systems responsive to dispute, is a way to ensure they respect human rights to autonomy and dignity. We investigate the design of public urban AI systems for contestability through the example of camera cars: human-driven vehicles equipped with image sensors. 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. We describe how civic participation faces issues of representation, public AI systems should integrate with existing democratic practices, and cities must expand capacities for responsible AI development and operation.
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