Acceptance of Artificial Intelligence Algorithms in Local Governance: Citizens’ Perspective

Based on data from three representative surveys conducted in Singapore, Tallinn, and Warsaw, this study examines individual-level factors influencing the acceptance of AI in local governance. Drawing on existing literature, we identified four key variables: a) citizen efficacy, b) confidence in local governance, c) experience with technology, d) technology-related anxiety. We conducted separate Structural Equation Models for each city to uncover context-specific dynamics. Our results reveal a consistent positive relation between confidence in governance and AI acceptance. In Singapore, citizens demonstrate higher individual agency, with both civic efficacy and institutional confidence driving AI acceptance, while prior technology experience plays a lesser role. In Warsaw, confidence in governance and technology-related anxiety emerge as strong predictors. In Tallinn, technology-related anxiety is the only significant factor, suggesting a more emotionally driven public approach toward AI. These findings highlight the importance of sociopolitical context in shaping public attitudes toward algorithmic decision-making in local governance.