IDEAS home Printed from https://ideas.repec.org/h/spr/paitcp/978-3-030-61033-3_5.html
   My bibliography  Save this book chapter

AI Regulation for Smart Cities: Challenges and Principles

In: Smart Cities and Smart Governance

Author

Listed:
  • Ya Zhou

    (Xiamen University)

  • Atreyi Kankanhalli

    (National University of Singapore)

Abstract

To reduce the burden on city resources and improve governance and services, artificial intelligence (AI) is being applied toward building smart cities. Although smart city AI applications bring benefits of automation and efficiency, they also raise regulatory challenges, with concerns about discrimination in service provision, privacy, legal, and ethical issues. To address these issues, we propose an integrated and systematic framework for smart city AI regulation. To develop the framework, we first identify the dimensions of a smart city and the components of AI-enabled systems. We then discuss examples of smart city AI applications and the regulatory challenges they pose. Last, we describe our integrated framework of principles for smart city AI regulation, which addresses these challenges. Our study contributes to both the literatures on smart cities and AI frameworks, as well as practice on smart city AI policy and regulation.

Suggested Citation

  • Ya Zhou & Atreyi Kankanhalli, 2021. "AI Regulation for Smart Cities: Challenges and Principles," Public Administration and Information Technology, in: Elsa Estevez & Theresa A. Pardo & Hans Jochen Scholl (ed.), Smart Cities and Smart Governance, chapter 5, pages 101-118, Springer.
    • Handle: RePEc:spr:paitcp:978-3-030-61033-3_5
    DOI: 10.1007/978-3-030-61033-3_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tan Yigitcanlar & Rashid Mehmood & Juan M. Corchado, 2021. "Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures," Sustainability, MDPI, vol. 13(16), pages 1-14, August.

    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:spr:paitcp:978-3-030-61033-3_5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.