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Viewpoint: a critical view on smart cities and AI

Authors:

Daniela Inclezan,

Luis I. PrádanosAuthors Info & Claims

Journal of Artificial Intelligence Research, Volume 60, Issue 1

Pages 681 - 686

Published: 01 September 2017 Publication History

Abstract

AI developments on smart cities, if not critical, risk making a flawed urban model more efficient. Instead, we suggest that AI should challenge the mainstream techno-optimistic approach to solving urban problems by dialoguing with other academic fields, questioning the dominant urban paradigm, and creating transformative solutions. We claim that doing differently, rather than doing better, may be smarter for cities and the common good.

References

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Cited By

Leonardos SSakos JCourcoubetis CPiliouras G(2023)Catastrophe by Design in Population Games: A Mechanism to Destabilize Inefficient Locked-in TechnologiesACM Transactions on Economics and Computation10.1145/3583782Online publication date: 15-Feb-2023
https://dl.acm.org/doi/10.1145/3583782
Kuberkar SSinghal TSingh S(2022)Fate of AI for Smart City Services in IndiaInternational Journal of Electronic Government Research10.4018/IJEGR.29821618:2(1-21)Online publication date: 26-May-2022
https://dl.acm.org/doi/10.4018/IJEGR.298216
Tobar FGonzález R(2022)On machine learning and the replacement of human labour: anti-Cartesianism versus Babbage’s pathAI & Society10.1007/s00146-021-01264-337:4(1459-1471)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1007/s00146-021-01264-3
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Published In

cover image Journal of Artificial Intelligence Research

Journal of Artificial Intelligence Research Volume 60, Issue 1

September 2017

1204 pages

ISSN:1076-9757

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Publisher

AI Access Foundation

El Segundo, CA, United States

Publication History

Published: 01 September 2017

Published in JAIR Volume 60, Issue 1

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Cited By

Leonardos SSakos JCourcoubetis CPiliouras G(2023)Catastrophe by Design in Population Games: A Mechanism to Destabilize Inefficient Locked-in TechnologiesACM Transactions on Economics and Computation10.1145/3583782Online publication date: 15-Feb-2023
https://dl.acm.org/doi/10.1145/3583782
Kuberkar SSinghal TSingh S(2022)Fate of AI for Smart City Services in IndiaInternational Journal of Electronic Government Research10.4018/IJEGR.29821618:2(1-21)Online publication date: 26-May-2022
https://dl.acm.org/doi/10.4018/IJEGR.298216
Tobar FGonzález R(2022)On machine learning and the replacement of human labour: anti-Cartesianism versus Babbage’s pathAI & Society10.1007/s00146-021-01264-337:4(1459-1471)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1007/s00146-021-01264-3
Mohan SYan FBellotti VElbery ARakha HKlenk MConitzer VHadfield GVallor S(2019)On Influencing Individual Behavior for Reducing Transportation Energy Expenditure in a Large PopulationProceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society10.1145/3306618.3314271(461-467)Online publication date: 27-Jan-2019
https://dl.acm.org/doi/10.1145/3306618.3314271
Bolívar MLópez-Quiles JJanssen MChun SWeerakkody V(2018)The quest for the quality of life in european smart citiesProceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age10.1145/3209281.3209296(1-15)Online publication date: 30-May-2018
https://dl.acm.org/doi/10.1145/3209281.3209296

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