Data-driven algorithmic and AI systems are increasingly being deployed to automate or augment decision processes across a wide range of public service settings. Yet community members are often unaware of the presence, operation, and impacts of these systems on their lives. With the shift towards algorithmic decision-making in public services, technology developers increasingly assume the role of de-facto policymakers, and opportunities for democratic participation are foreclosed. In this position paper, we articulate an early vision around the design of ubiquitous infrastructure for public learning and engagement around civic AI technologies. Building on this vision, we provide a list of questions that we hope can prompt stimulating conversations among the HCI community.

翻译：数据驱动的算法及人工智能系统正日益被部署用于自动化或增强广泛公共服务场景中的决策过程。然而，社区成员往往对这些系统在其生活中的存在、运作及影响缺乏认知。随着公共服务领域向算法决策的转变，技术开发者逐渐承担起事实上的政策制定者角色，民主参与的机会因此被削弱。在本立场论文中，我们围绕构建普适性基础设施以促进公众对公民AI技术的学习与参与，阐述了一个初步愿景。基于这一愿景，我们提出了一系列问题，期望能够引发人机交互社区内富有启发性的讨论。