Page 27 - U4SSC: City Science Application Framework

• Rashid, City Concierge – Dubai, UAE

As part of its vision to become the happiest city on earth, Smart Dubai created a city AI enablement
layer to utilize AI for city happiness. Rashid (it literally means Guide in Arabic) combines Cognitive
Computing and Natural Language Processing to help residents, visitors and businessmen in Dubai to
answer their queries about doing business in Dubai, living in Dubai and also visiting Dubai. Hence,
Rashid acts as a City Concierge and a virtual assistant to help its users for any inquiries they might
have about Dubai, which in turn promotes the happiness of Dubai residents and visitors.

• Identifying the cascading effects on vital objects during flooding – Amsterdam, the Netherlands

More frequent and severe climate events have propelled the Dutch Ministry of Economic Affairs to
formulate new strategy to cope with the consequences of these climate events, especially flooding.
The Adaptive Circular Cities project uses 3D modelling to detail the cascading effects of a potential
flooding. This 3D model stimulates a flooding scenario using different variable and data, allowing
the official to visualize the direct and indirect impact of the flood and take adaptative measures
accordingly.

• Unlocking the potential of trust-based AI for city science and smarter cities

Data and information are collected and analysed through various entry points or interfaces in smart
cities or any large-scale digital platforms. These platforms process a large amount of data. Without
proper safety mechanisms to govern each transaction, personal data are vulnerable to being stolen.
A trust-based management system that is powered by artificial intelligence in a distributed network
has great potential in securing each transaction, allowing data to be freely traversed to different
domains and across different platforms safely.

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