Smart City Gnosys

Smart city article details

Title Artificial Intelligence, Institutions, And Resilience: Prospects And Provocations For Cities
ID_Doc 10549
Authors Schintler L.A.; McNeely C.L.
Year 2022
Published Journal of Urban Management, 11, 2
DOI http://dx.doi.org/10.1016/j.jum.2022.05.004
Abstract The notion of “smart city” incorporates promises of urban resilience, referring generally to capacities for cities to anticipate, absorb, react, respond, and reorganize in the face of disruptive changes and disturbances. As such, artificial intelligence (AI), coupled with big data, is being heralded as a means for enhancing and accessing key determinants of resilience. At the same time, while AI generally has been extolled for contributions to urban resilience, less attention has been paid to the other side of the equation — i.e., to the ethical, governance, and social downsides of AI and big data that can operate to hinder or compromise resilience. With particular attention to relevant institutional dynamics and features, an encompassing and systemic conception of smart and resilient cities is delineated as a critical lens for viewing and analyzing complex instrumental and intrinsic aspects of the relationship between AI and resilience. As a broader contribution to the literature, a set of structural, process, and outcome conditions are offered for engaging and assessing linkages inherent in the use of AI relative to urban resilience in terms of absorptive capacity, speed of recovery, over-optimization avoidance, and creative destruction, especially as regards impacts on relevant practices, standards, and policies. © 2022 The Authors
Author Keywords Artificial intelligence; Ethics; Governance; Institutions; Resilience; Smart city; Technology


Similar Articles


Id Similarity Authors Title Published
16010 View0.912Yigitcanlar T.; Desouza K.C.; Butler L.; Roozkhosh F.Contributions And Risks Of Artificial Intelligence (Ai) In Building Smarter Cities: Insights From A Systematic Review Of The LiteratureEnergies, 13, 6 (2020)
10434 View0.908Hind H.; Lal S.; Arora M.K.Artificial Intelligence And Urban Sustainability: A Governance Perspective On Smart City PoliciesDeveloping Smart Sustainability With Artificial Intelligence (2025)
15585 View0.902Cugurullo F.; Caprotti F.; Cook M.; Karvonen A.; McGuirk P.; Marvin S.Conclusions: The Present Of Urban Ai And The Future Of CitiesArtificial Intelligence and the City: Urbanistic Perspectives on Ai (2023)
10391 View0.901Lartey D.; Law K.M.Y.Artificial Intelligence Adoption In Urban Planning Governance: A Systematic Review Of Advancements In Decision-Making, And Policy MakingLandscape and Urban Planning, 258 (2025)
24199 View0.9Zehouani N.; Ababou M.; Faquir S.; Rabiai S.Environmental Ai For Resilient And Sustainable Urban Infrastructures: Rethinking Smart City TransformationSustainable Civil Infrastructures (2025)
56481 View0.9Cina E.; Elbasi E.; Elmazi G.; AlArnaout Z.The Role Of Ai In Predictive Modelling For Sustainable Urban Development: Challenges And OpportunitiesSustainability (Switzerland), 17, 11 (2025)
6947 View0.898Singh R.; Manoharan G.Ai Integration To Strengthen Disaster Resilience In Smart CitiesAI and Emerging Technologies for Emergency Response and Smart Cities (2025)
52958 View0.897Umeike R.; Dao T.; Crawford S.State-Of-The-Art Review Of Resilient Smart Cities: Progress And ChallengesUrban Governance, 5, 2 (2025)
25784 View0.896Alsabt, R; Adenle, YA; Alshuwaikhat, HMExploring The Roles, Future Impacts, And Strategic Integration Of Artificial Intelligence In The Optimization Of Smart City-From Systematic Literature Review To Conceptual ModelSUSTAINABILITY, 16, 8 (2024)
12141 View0.891Deal B.; Petri A.C.; Pan H.; Timm S.Big Data, Socio-Environmental Resilience And Urban Systems Planning SupportBig Data for Regional Science (2017)