Acceleration of urbanisation is posing great challenges to sustainable development. Growing accessibility to big data and artificial intelligence (AI) technologies have revolutionised many fields and offered great potential for addressing pressing urban problems. However, using these technologies without explicitly considering responsibilities would bring new societal and environmental issues. To fully harness the potential of big data and AI without creating new problems, we envisage a conceptual framework of Responsible Urban Intelligence (RUI) and advocate an agenda for action. We first define RUI as consisting of three major components including urban problems, enabling technologies, and responsibilities; then introduce transparency, fairness, and eco-friendliness as the three dimensions of responsibilities which naturally link with the human, space, and time dimensions of cities; and further develop a four-stage implementation framework for responsibilities as consisting of solution design, data preparation, model building, and practical application; and finally present a research agenda for RUI addressing challenging issues including data and model transparency, tension between performance and fairness, and solving urban problems in an eco-friendly manner.
翻译:加快城市化进程对可持续发展提出了巨大挑战。对海量数据和人工智能(AI)技术的日益普及已经使许多领域发生革命性变化,并提供了解决紧迫城市问题的巨大潜力。然而,在不明确考虑责任的情况下使用这些技术将带来新的社会和环境问题。为了充分利用海量数据和人工智能的潜力,而不产生新的问题,我们设想了一个负责任的城市情报(RUI)的概念框架,并倡导一个行动议程。我们首先将RUI定义为由三大组成部分组成,包括城市问题、赋能技术和责任;然后引入透明、公平和生态友好作为责任的三个层面,这自然与城市的人力、空间和时间层面相关联;进一步制定四阶段责任执行框架,包括解决方案的设计、数据编制、模型建设和实际应用;最后为RUI提出一个研究议程,以解决具有挑战性的问题,包括数据和模型透明度、绩效与公平之间的紧张关系,以及以生态友好方式解决城市问题。