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Idil, Adelia
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Decision Sciences, Operations Research & Management Social Sciences

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Journal : Asian Digital Governance Problems

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AI-Based Public Service Transformation: An Analysis of Algorithmic Bias Risks and Digital Government Accountability in ASEAN Idil, Adelia; Alimuddin, Huda
Asian Digital Governance Problems Vol. 1 No. 2 (2024): Asian Digital Governance Problems
Publisher : Asian Digital Governance Problems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71435/685956

Abstract

Purpose: The rapid integration of Artificial Intelligence (AI) in public service delivery has brought both opportunities and challenges in the ASEAN region. This study investigates the risks of algorithmic bias and the effectiveness of digital government accountability in five ASEAN countries: Singapore, Indonesia, Malaysia, Thailand, and the Philippines. Subjects and Methods: Through expert interviews, policy document analysis, and comparative case studies, the research identifies key issues such as biased algorithms in welfare programs and predictive policing, as well as the varying levels of institutional accountability across countries. Singapore’s comprehensive AI governance framework, emphasizing transparency and fairness, contrasts with the more fragmented approaches in Indonesia and the Philippines, where AI systems often lack oversight mechanisms. Results: The study finds that public trust in AI-based public services is strongly influenced by transparency and citizen engagement. It concludes that addressing algorithmic bias and strengthening accountability mechanisms are essential for the responsible deployment of AI in public services. Conclusions: This research contributes to the existing literature on AI governance, particularly within the ASEAN context, and calls for further exploration of AI governance frameworks and citizen participation in less mature AI environments.
Co-Authors Alimuddin, Huda