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.

通过城市公共人工智能系统的竞争性设计，以拍摄感应器所配备的人驾驶汽车为例，运用暂定竞争性人工智能框架，采用假设设计的方法，构建一个设计视频，然后对 17 名在大型欧洲城市所使用的人工智能的公务员进行半结构化采访，我们描述了公共人工智能系统在实施竞争性方面面临的主要挑战。