IDEAS home Printed from https://ideas.repec.org/a/ags/ijssme/355396.html

Applying artificial intelligence sensibly in smart cities to improve sustainable development outcomes: insights from a comparative research across cities in different regions

Author

Listed:
  • Cheng Boon Yap
  • Klemens Katterbauer
  • Laurent Cleenewerck de Kiev

Abstract

More than 50% of the world’s population currently live in cities and the proportion is likely to grow to 70% by 2050 (World Bank Group, 2023). Thus, cities arguably play a pivotal role in efforts to achieve the Sustainable Development Goals (SDGs). Specifically, smart cities, which integrate information and communications technology (ICT), energy, and transport to improve cities’ resilience and efficiency, could possibly drive much progress for the SDGs. The advent of artificial intelligence (AI) could also augment smart cities’ potential to contribute to the SDGs. However, AI could be a double-edged sword that brings both pros and cons on the economic, environmental, and social fronts. Moreover, people’s attitude and practices in using AI might differ due to various factors. This paper hypothesizes that sociocultural differences across regions could influence how their smart cities adopt AI to support sustainable development. To validate this hypothesis, this research employed a survey which yielded 401 responses. Four major population subgroups emerged from the responses, reflecting views from Africa, China, Singapore, and the Europe and North America (ENA) region. This paper presents the significant findings from the survey that could help in advancing the sustainable development agenda. For instance, people in the ENA region seem comparatively less comfortable in using AI, so relevant local authorities in the region might need to step up efforts to alleviate concerns. Through sharing such insights, this paper brings significant value to urban planners and policymakers in making decisions about sensible AI applications in smart cities for sustainable development.

Suggested Citation

  • Cheng Boon Yap & Klemens Katterbauer & Laurent Cleenewerck de Kiev, . "Applying artificial intelligence sensibly in smart cities to improve sustainable development outcomes: insights from a comparative research across cities in different regions," International Journal of Social Science, Management and Economics Research - IJSSMER, International Journal of Social Science, Management and Economics Research - IJSSMER, vol. 3(1).
  • Handle: RePEc:ags:ijssme:355396
    DOI: 10.22004/ag.econ.355396
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/355396/files/APPLYING%20ARTIFICIAL%20INTELLIGENCE%20SENSIBLY.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.355396?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ijssme:355396. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://ijssmer.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.