Evaluation of the role of artificial intelligence in delivering smart cities
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AbstractSmart Cities are having to find new techniques to deal with the increasing urbanisation situation in already overpopulated areas. A potential and developing solution is the use of artificial intelligence (AI) to enable these cities to tackle and overcome problems caused as a result of urbanisation. The objective of this review is to identify the breakdown of the different components of a smart city and understand published literature to identify and compile the impact artificial intelligence has on these 6 smart city attributes: smart economy, smart people, smart governance, smart mobility, smart environment and smart living. Artificial intelligence can have a number of potential positive impacts on Smart City evolvement and growth such as, education, public services, reduced travel times, intelligence and surveillance, increase energy efficiency and healthcare to name a few. It could however lead to a number of negative effects in unemployment, liability factor, trust, limited legislations, lack of emotive state and ethics and data breaches. Ultimately, the general public’s uncertainty, concern and general lack of understanding of the potential impacts of AI are obstructing its full use and potential, most of this stems from the lack of information given to the public regarding the future uses and potential AI brings. Further research needs to be carried out to fully understand the public’s concern to allow an action plan to be produced to ensure the public are on board with the implementation of AI. Without the public’s acceptance AI will not flourish and smart cities will not be able to cope with the increase of urbanisation.
CitationGriffiths, K., Renukappa, S., Suresh, S. and Mora, L. (in press) Evaluation of the role of artificial intelligence in delivering smart cities. British Academy of Management Conference, 31st August-2nd September, Alliance Manchester Business School..
PublisherBritish Academy of Management
DescriptionThis is a paper that has been accepted for the BAM2022 Conference, 31st August-2nd September, 2022, Alliance Manchester Business School.
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/
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