Drivers behind the public perception of artificial intelligence: insights from major Australian cities

, , & Inkinen, Tommi (2024) Drivers behind the public perception of artificial intelligence: insights from major Australian cities. AI and Society, 39(3), pp. 833-853.

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Artificial intelligence (AI) is not only disrupting industries and businesses, particularly the ones have fallen behind the adoption, but also significantly impacting public life as well. This calls for government authorities pay attention to public opinions and sentiments towards AI. Nonetheless, there is limited knowledge on what the drivers behind the public perception of AI are. Bridging this gap is the rationale of this paper. As the methodological approach, the study conducts an online public perception survey with the residents of Sydney, Melbourne, and Brisbane, and explores the collected survey data through statistical analysis. The analysis reveals that: (a) The public is concerned of AI invading their privacy, but not much concerned of AI becoming more intelligent than humans; (b) The public trusts AI in their lifestyle, but the trust is lower for companies and government deploying AI; (c) The public appreciates the benefits of AI in urban services and disaster management; (d) Depending on the local context, public perceptions vary, and; (e) The drivers behind the public perception include gender, age, AI knowledge and AI experience. The findings inform authorities in developing policies to minimise public concerns and maximise AI awareness.

Impact and interest:

72 citations in Scopus
59 citations in Web of Science®
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ID Code: 235246
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Yigitcanlar, Tanorcid.org/0000-0001-7262-7118
Degirmenci, Kenanorcid.org/0000-0002-4046-4526
Additional Information: Open Access funding enabled and organized by CAUL and its Member Institutions.
Measurements or Duration: 21 pages
Keywords: artificial intelligence, AI, public perception, public policy, Australia, Sydney, Melbourne, Brisbane, smart cities, technology adoption
DOI: 10.1007/s00146-022-01566-0
ISSN: 0951-5666
Pure ID: 115405209
Divisions: Current > Research Centres > Centre for Future Enterprise
Current > QUT Faculties and Divisions > Faculty of Business & Law
Current > QUT Faculties and Divisions > Faculty of Science
Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Faculty of Engineering
Current > Schools > School of Architecture & Built Environment
Funding Information: This research was funded by the Australian Research Council Discovery Grant Scheme, grant number DP220101255.
Funding:
Copyright Owner: The Author(s) 2022
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Deposited On: 20 Sep 2022 11:00
Last Modified: 25 Sep 2026 04:41