Governing urban AI responsibly: Public perceptions of ethical and practical challenges in local government

As AI becomes increasingly embedded in local government operations, public perceptions are a critical lens for evaluating responsible AI deployment. This study investigates how individuals' encounters with AI in local government settings relate to perceived benefits, risks, and understanding of AI, and how these perceptions are linked to the importance assigned to responsible AI characteristics. The study uses structural equation modelling to analyse survey data from 1220 respondents across Australia, Spain, and the US. The findings show that experience with local government AI is positively associated with perceived benefits and perceived understanding and negatively associated with perceived risks. Perceived risk is the strongest predictor of the perceived importance of responsible AI, while perceived benefits and understanding play supporting roles. This indicates that public prioritisation of responsible AI is linked less to optimism about AI's benefits and more to concern for safeguards and ethical governance. Country-specific models also showed variation in the relative strength and significance of these relationships across national contexts. These findings contribute to responsible AI scholarship by showing that public expectations for local government AI are shaped by both practical experience and governance concerns. The study highlights the need for context-sensitive AI governance strategies that build public trust, address perceived risks, and align AI deployment with public values.

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Publication Details

Journal
Cities
Published
2026-10-30
DOI
https://doi.org/10.1016/j.cities.2026.107750
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00

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article

Governing urban AI responsibly: Public perceptions of ethical and practical challenges in local government

Alexander Paz, Darío Negueruela Del Castillo, Tan Yiğitcanlar, Raveena Marasinghe et al.
4 links
Cities
Ethics and Social Impacts of AI
article

Governing urban AI responsibly: Public perceptions of ethical and practical challenges in local government

Alexander Paz, Darío Negueruela Del Castillo, Tan Yiğitcanlar, Raveena Marasinghe, Xinyue Ye
article en

Abstract

As AI becomes increasingly embedded in local government operations, public perceptions are a critical lens for evaluating responsible AI deployment. This study investigates how individuals' encounters with AI in local government settings relate to perceived benefits, risks, and understanding of AI, and how these perceptions are linked to the importance assigned to responsible AI characteristics. The study uses structural equation modelling to analyse survey data from 1220 respondents across Australia, Spain, and the US. The findings show that experience with local government AI is positively associated with perceived benefits and perceived understanding and negatively associated with perceived risks. Perceived risk is the strongest predictor of the perceived importance of responsible AI, while perceived benefits and understanding play supporting roles. This indicates that public prioritisation of responsible AI is linked less to optimism about AI's benefits and more to concern for safeguards and ethical governance. Country-specific models also showed variation in the relative strength and significance of these relationships across national contexts. These findings contribute to responsible AI scholarship by showing that public expectations for local government AI are shaped by both practical experience and governance concerns. The study highlights the need for context-sensitive AI governance strategies that build public trust, address perceived risks, and align AI deployment with public values.

CitiesVol. 179
Queensland University of Technology (AU), University of Alabama (US), University of Johannesburg (ZA)
Australian Research Council
Peace, justice, and strong institutions, Sustainable cities and communities
Openalex Percentile: Top 8%
Ethics and Social Impacts of AI
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