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Digital Trust Risk in AI-Enabled Platform Government: A Comparative Systems Analysis of Privacy and Cybersecurity Policy Models in South Korea, Estonia, and Taiwan
- Park, Sohyun;
- Myeong, Seunghwan
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South Korea has achieved internationally recognized digital government capacity and platform-based service integration, yet recent privacy and cybersecurity incidents reveal growing risks to digital trust. This article examines how national governance models shape digital trust risk under conditions of platform dependency, large-scale data breaches, and artificial intelligence (AI)-enabled cybersecurity threats. Drawing on a comparative socio-technical systems perspective, the study analyzes three digitally advanced but institutionally distinct cases: South Korea, Estonia, and Taiwan. South Korea is examined as a reactive platform-accountability model, Estonia as an architecture-based data-auditability model, and Taiwan as a civic-resilience and joint-defense model. Rather than applying a formal quantum-probability model, the article uses the QP-Gov framework as a bounded analytical lens for interpreting context sensitivity, latent trust, accountability visibility, and abrupt trust-risk shifts. Methodologically, the study adopts a most-different systems design and combines structured profile analysis, case tracing, and an evidence matrix. The comparison focuses on five dimensions: digital density, data concentration, accountability visibility, incident responsiveness, and AI-era readiness. The findings show that digital trust depends not simply on technological sophistication, but on whether citizens can observe how data are accessed, how breaches are handled, how responsibility is allocated, and whether institutions learn from incidents before trust damage becomes systemic. The analysis suggests that Korea's reactive model demonstrates strong post-incident investigative and regulatory capacity but remains vulnerable when accountability becomes visible only after major breaches. By contrast, Estonia and Taiwan illustrate alternative mechanisms of preventive auditability and resilience-based preparedness. The article concludes by proposing a sequenced policy pathway for South Korea, including citizen-facing data-access logs, systemic platform duties, breach-consequence dashboards, AI-agent audit trails, zero-trust infrastructure, and independent digital trust oversight.
키워드
- 제목
- Digital Trust Risk in AI-Enabled Platform Government: A Comparative Systems Analysis of Privacy and Cybersecurity Policy Models in South Korea, Estonia, and Taiwan
- 저자
- Park, Sohyun; Myeong, Seunghwan
- 발행일
- 2026-07
- 유형
- Article
- 저널명
- SYSTEMS
- 권
- 14
- 호
- 7