论文标题

负责的城市情报:朝着研究议程

Responsible Urban Intelligence: Towards a Research Agenda

论文作者

Cao, Rui, Gao, Qi-Li, Qiu, Guoping

论文摘要

城市化的加速对可持续发展构成了巨大挑战。对大数据和人工智能(AI)技术的越来越多的可访问性彻底改变了许多领域,并提供了解决压迫城市问题的巨大潜力。但是,使用这些技术不明确考虑责任将带来新的社会和环境问题。为了最大程度地提高大数据和AI的好处,同时最大程度地减少了潜在问题,我们设想了负责任的城市情报(RUI)的概念框架,并提倡采取行动议程。我们首先将RUI定义为包括三个主要组成部分,包括城市问题,启用技术和职责;然后将透明度,公平和环保性作为责任的三个维度,自然地与城市的人类,空间和时间维度联系在一起;并进一步开发了一个四阶段实施框架,用于负责解决方案设计,数据准备,模型构建和实际应用;最后提出了RUI的研究议程,以解决具有挑战性的问题,包括数据和模型透明度,表现与公平之间的紧张关系以及以环保的方式解决城市问题。

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 maximise the benefits of big data and AI while minimising potential issues, 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.

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