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ZENODO
Part of book or chapter of book . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Part of book or chapter of book . 2024
License: CC BY
Data sources: Datacite
ZENODO
Part of book or chapter of book . 2024
License: CC BY
Data sources: Datacite
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Urbanization and AI: Building Smarter, Sustainable Cities

Authors: Padmanabhan, P.; Raju, M.;

Urbanization and AI: Building Smarter, Sustainable Cities

Abstract

Abstract Artificial intelligence (AI) is rapidly transforming urban landscapes, igniting promises of enhanced efficiency, sustainability, and citizen well-being. This chapter explore the diverse applications of AI across key domains in smart cities, encompassing healthcare, governance, transportation, energy, and safety/security. From optimizing traffic flow to tailoring public services, AI's transformative potential shines through. However, challenges regarding data privacy, algorithmic bias, and job displacement cast shadows on this bright future. This chapter critically examines both the alluring benefits and potential drawbacks of AI-powered smart city development. We emphasize the fundamental importance of human-cantered design principles, ensuring inclusivity and mitigating potential harms through robust ethical frameworks. Looking ahead, the chapter explores emerging trends like AI-driven urban planning and hyper-personalized citizen experiences, highlighting their potential to further enhance urban spaces. Finally, we underscore the imperative for collaborative efforts among stakeholders—government, industry, and academia—to effectively navigate the intricate landscape of AI and shape optimized, personalized, and inclusive cities of the future.

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Keywords

Artificial intelligence, smart cities, urban transformation, sustainability, ethical considerations, human-cantered design, responsible development.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green