AI Regulation for Smart Cities: Challenges and Principles

Ya Zhou () and Atreyi Kankanhalli ()
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Ya Zhou: Xiamen University
Atreyi Kankanhalli: National University of Singapore

Chapter 5 in Smart Cities and Smart Governance, 2021, pp 101-118 from Springer

Abstract: 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.

Keywords: Smart city artificial intelligence regulation; Artifical intelligence regulation; Smart principles; Artificial intelligence policy (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:paitcp:978-3-030-61033-3_5

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DOI: 10.1007/978-3-030-61033-3_5

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