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 AI 系统越来越多地被应用于自动化或增强广泛的公共服务领域中的决策过程。然而,社区成员常常不知道这些系统在他们的生活中的存在、运作和影响。随着公共服务中算法决策的转变,技术开发人员越来越多地扮演代表性决策者的角色,民主参与的机会被关闭。在本立场论文中,我们阐述了一种早期愿景,即公共 AI 技术的普及化基础设施的设计。基于这一愿景,我们提供了一系列问题,希望能在人机交互界引发引人思考的对话。