A1 Refereed original research article in a scientific journal

Public Perceptions on Application Areas and Adoption Challenges of AI in Urban Services




AuthorsYigitcanlar Tan, Li Rita Yi Man, Inkinen Tommi, Paz Alexander

PublisherItal Publication

Publication year2022

JournalEmerging Science Journal

Volume6

Issue6

First page 1199

Last page1236

eISSN2610-9182

DOIhttps://doi.org/10.28991/ESJ-2022-06-06-01(external)

Web address https://www.ijournalse.org/index.php/ESJ(external)

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/176225446(external)


Abstract

Artificial intelligence (AI) deployment is exceedingly relevant to local governments, for example, in planning and delivering urban services. AI adoption in urban services, however, is an understudied area, particularly there is limited knowledge and hence research gap on public perceptions-users/receivers of these services. This study aims to examine people’s behaviours and preferences regarding the most suited urban services for application of AI technology, and challenges for governments to adopt AI for urban service delivery. The methodological approach includes data collection through online survey from Australia and Hong Kong and statistical analysis of the data through binary logistic regression modelling. The study finds that: (a) Attitudes toward AI applications and ease of use have significant effects on forming an opinion on AI; (b) Initial thoughts regarding the meaning of AI have a significant impact on AI application areas and adoption challenges; (c) Perception differences between the two countries in AI application areas are significant, and; (d) Perception differences between the two countries in government AI adoption challenges are minimal. The study consolidates our understanding on how the public perceives application areas and adoption challenges of AI, particularly in urban services, which informs local authorities that deploy or planning to adopt AI in their urban services.


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Last updated on 2024-26-11 at 19:27