Conceptualising Public Trust in High-Risk AI Policymaking: A Comparative Analysis of Three Asian Cities

How do we develop trust in artificial intelligence (AI), which can threaten our fundamental rights or might cause physical harm? This article proposes a governance-centred framework and argues that trust in high-risk AI systems is a function not only of the features of the technology and personal traits but is also a function of trust in institutions under which they operate. The article tests and compares the validity of the framework using 3,600 online survey responses in Seoul, Singapore, and Tokyo. The results show the significant differences in patterns of institutional trust that directly affect the degree of trust in high-risk AI in the three cities.

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Publication Details

Journal
Journal of Comparative Policy Analysis Research and Practice
Published
2025-11-02
DOI
https://doi.org/10.1080/13876988.2025.2543546
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37
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article

Conceptualising Public Trust in High-Risk AI Policymaking: A Comparative Analysis of Three Asian Cities

Shaleen Khanal, Devyani Pande, Araz Taeihagh
1 citations
Journal of Comparative Policy Analysis Research and Practice
Ethics and Social Impacts of AI
2.37
article

Conceptualising Public Trust in High-Risk AI Policymaking: A Comparative Analysis of Three Asian Cities

Shaleen Khanal, Devyani Pande, Araz Taeihagh
article en
1 citations

Abstract

How do we develop trust in artificial intelligence (AI), which can threaten our fundamental rights or might cause physical harm? This article proposes a governance-centred framework and argues that trust in high-risk AI systems is a function not only of the features of the technology and personal traits but is also a function of trust in institutions under which they operate. The article tests and compares the validity of the framework using 3,600 online survey responses in Seoul, Singapore, and Tokyo. The results show the significant differences in patterns of institutional trust that directly affect the degree of trust in high-risk AI in the three cities.

Journal of Comparative Policy Analysis Research and PracticeVol. 27(5-6)
National University of Singapore (SG), National Law School of India University (IN), National Law University, Delhi (IN)
Openalex Percentile: Top 8%
Ethics and Social Impacts of AI
2.37
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Conceptualising Public Trust in High-Risk AI Policymaking: A Comparative Analysis of Three Asian Cities — Shaleen Khanal, Devyani Pande, et al. · Journal of Comparative Policy Analysis Research and Practice (2025) | TGRS Research Map | TGRS