Smart cities operate on computational predictive frameworks that collect, aggregate, and utilize data from large-scale sensor networks. However, these frameworks are prone to multiple sources of data and algorithmic bias, which often lead to unfair prediction results. In this work, we first demonstrate that bias persists at a micro-level both temporally and spatially by studying real city data from Chattanooga, TN. To alleviate the issue of such bias, we introduce Fairguard, a micro-level temporal logic-based approach for fair smart city policy adjustment and generation in complex temporal-spatial domains. The Fairguard framework consists of two phases: first, we develop a static generator that is able to reduce data bias based on temporal logic conditions by minimizing correlations between selected attributes. Then, to ensure fairness in predictive algorithms, we design a dynamic component to regulate prediction results and generate future fair predictions by harnessing logic rules. Evaluations show that logic-enabled static Fairguard can effectively reduce the biased correlations while dynamic Fairguard can guarantee fairness on protected groups at run-time with minimal impact on overall performance.

Understanding urban dynamics, i.e., how the types and intensity of urban residents' activities in the city change along with time, is of urgent demand for building an efficient and livable city. Nonetheless, this is challenging due to the expanding urban population and the complicated spatial distribution of residents. In this paper, to reveal urban dynamics, we propose a novel system UrbanRhythm to reveal the urban dynamics hidden in human mobility data. UrbanRhythm addresses three questions: 1) What mobility feature should be used to present residents' high-dimensional activities in the city? 2) What are basic components of urban dynamics? 3) What are the long-term periodicity and short-term regularity of urban dynamics? In UrbanRhythm, we extract staying, leaving, arriving three attributes of mobility and use a image processing method Saak transform to calculate the mobility distribution feature. For the second question, several city states are identified by hierarchy clustering as the basic components of urban dynamics, such as sleeping states and working states. We further characterize the urban dynamics as the transform of city states along time axis. For the third question, we directly observe the long-term periodicity of urban dynamics from visualization. Then for the short-term regularity, we design a novel motif analysis method to discovery motifs as well as their hierarchy relationships. We evaluate our proposed system on two real-life datesets and validate the results according to App usage records. This study sheds light on urban dynamics hidden in human mobility and can further pave the way for more complicated mobility behavior modeling and deeper urban understanding.

While the US government seem not yet convinced that AI power would rule the world, China and Dubai appear dead serious about the technology. In fact, Dubai a key member of the Emirates has revealed its plans to grab "soft power," in print, under the new ministry of AI. Yes, you hard that right, artificial intelligence is now a complete cabinet docket that receives government funding like health, security, and other serious ministries. It's this office that keeps the print, which reveals how autonomous robocops might in future patrol around the Dubai Mall. How smart drones will deliver goods to addresses, how flying taxis will lift and drop commuters around the city, and how buslike pods with brains will pick and drop passengers from their doorsteps.

Singapore is attracting the world's leading artificial intelligence talent because of its status as a cosmopolitan society and strong state backing for technology research, according to the head of the private equity firm building a mega hub in the city for start ups involved in the sector. Joel Ko, co-founder and chief executive of Marvelstone Ventures, said Alibaba's announcement last week that it would site one of its global AI research facilities in Singapore was a shot in the arm for the republic's ambitions to become a regional focal point for the fast growing industry. Singapore-based Marvelstone on Monday dovetailed the announcement by the Chinese conglomerate – owner of the South China Morning Post – by revealing it was setting up an AI hub of its own in the city state, which would incubate 100 start ups every year. It said its hub would be "the world's biggest" when it opens next year. The two facilities are independent of each other, but Ko said "there could be an opportunity for partnership and collaboration" with Alibaba and other technology giants.