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：数据驱动的算法和人工智能系统正日益被部署，以自动执行或辅助决策过程，广泛涵盖各类公共服务场景。然而，社区成员往往对这些系统的存在、运作方式及其对自身生活的影响缺乏认知。随着公共服务领域向算法决策转型，技术开发者实际上承担了事实上的政策制定者角色，而民主参与的机会则被阻隔。在这篇立场论文中，我们阐述了一项关于围绕公民AI技术开展公共学习与参与的泛在基础设施设计的早期愿景。基于此愿景，我们提出了一系列问题，期望能激发人机交互（HCI）社区中富有启发性的讨论。