The Sustainability of Artificial Intelligence: An Urbanistic Viewpoint from the Lens of Smart and Sustainable Cities

被引:125
作者
Yigitcanlar, Tan [1 ]
Cugurullo, Federico [2 ]
机构
[1] Queensland Univ Technol, Sch Built Environm, 2 George St, Brisbane, Qld 4000, Australia
[2] Univ Dublin, Sch Nat Sci, Dept Geog, Trinity Coll Dublin, Dublin D02 PN40 2, Ireland
关键词
artificial intelligence (AI); artificially intelligent city; climate change; planetary challenges; smart and sustainable cities; smart city; technological disruption; urban policy; sustainable urbanism; urban artificial intelligences; CLIMATE-CHANGE; FUTURE; CITY; AI; GOVERNANCE; SOCIETY; POLICY; LAND; IMPLEMENTATION; RESILIENCE;
D O I
10.3390/su12208548
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The popularity and application of artificial intelligence (AI) are increasing rapidly all around the world-where, in simple terms, AI is a technology which mimics the behaviors commonly associated with human intelligence. Today, various AI applications are being used in areas ranging from marketing to banking and finance, from agriculture to healthcare and security, from space exploration to robotics and transport, and from chatbots to artificial creativity and manufacturing. More recently, AI applications have also started to become an integral part of many urban services. Urban artificial intelligences manage the transport systems of cities, run restaurants and shops where every day urbanity is expressed, repair urban infrastructure, and govern multiple urban domains such as traffic, air quality monitoring, garbage collection, and energy. In the age of uncertainty and complexity that is upon us, the increasing adoption of AI is expected to continue, and so its impact on the sustainability of our cities. This viewpoint explores and questions the sustainability of AI from the lens of smart and sustainable cities, and generates insights into emerging urban artificial intelligences and the potential symbiosis between AI and a smart and sustainable urbanism. In terms of methodology, this viewpoint deploys a thorough review of the current status of AI and smart and sustainable cities literature, research, developments, trends, and applications. In so doing, it contributes to existing academic debates in the fields of smart and sustainable cities and AI. In addition, by shedding light on the uptake of AI in cities, the viewpoint seeks to help urban policymakers, planners, and citizens make informed decisions about a sustainable adoption of AI.
引用
收藏
页码:1 / 24
页数:24
相关论文
共 215 条
[1]  
Accord C., 2017, UN WASTE WATER MANAG, V44, P35
[2]   Capturing the behavioural determinants behind the adoption of autonomous vehicles: Conceptual frameworks and measurement models to predict public transport, sharing and ownership trends of self-driving cars [J].
Acheampong, Ransford A. ;
Cugurullo, Federico .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2019, 62 :349-375
[3]   Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review [J].
Adly, Aya Sedky ;
Adly, Afnan Sedky ;
Adly, Mahmoud Sedky .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (08)
[4]  
Agrawal A., 2018, Prediction machines: the simple economics of artificial intelligence
[5]   Fairness, Accountability, Transparency in AI at Scale: Lessons from National Programs [J].
Ahmad, Muhammad Aurangzeb ;
Teredesai, Ankur ;
Eckert, Carly .
FAT* '20: PROCEEDINGS OF THE 2020 CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, 2020, :690-690
[6]   On big data, artificial intelligence and smart cities [J].
Allam, Zaheer ;
Dhunny, Zaynah A. .
CITIES, 2019, 89 :80-91
[7]   Redefining the Smart City: Culture, Metabolism and Governance [J].
Allam, Zaheer ;
Newman, Peter .
SMART CITIES, 2018, 1 (01) :4-25
[8]   Democratizing Al [J].
Allen, Bibb ;
Agarwal, Sheela ;
Kalpathy-Cramer, Jayashree ;
Dreyer, Keith .
JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2019, 16 (07) :961-963
[9]   Multi hours ahead prediction of surface ozone gas concentration: Robust artificial intelligence approach [J].
AlOmar, Mohamed Khalid ;
Hameed, Mohammed ;
AlSaadi, Mohammed Abdulhakim .
ATMOSPHERIC POLLUTION RESEARCH, 2020, 11 (09) :1572-1587
[10]   Smart cities: A conjuncture of four forces [J].
Angelidou, Margarita .
CITIES, 2015, 47 :95-106