Institutional Sustainability in AI Governance: Comparing Paths in the EU, Japan, and Taiwan

Kuan-Wei Chen, Kyoto UniversityFollow

ORCID

Keywords

AI Governance; Institutional Sustainability; EU; Japan; Taiwan

Abstract

This article explores the concept of institutional sustainability in AI governance by comparing the approaches in the European Union, Japan, and Taiwan. It begins by arguing that the relationship between AI and sustainability extends beyond environmental concerns, encompassing the sustainability of governance institutions themselves. The article posits that institutional sustainability, referring to the capacity of governance frameworks to remain effective over time, is essential in the context of rapidly evolving and future-oriented AI governance. The analysis proceeds by examining the EU’s strategy of normative anchoring through legal codification, Japan’s agile governance model based on collaboration and coordination, and Taiwan’s digital democratic discourse that leverages civic participation. With a comparative assessment of these models along four dimensions: adaptability, legitimacy, coherence, and resilience, highlighting their respective strengths and limitations, this article offers diverse insights for developing sustainable AI governance systems.

Acknowledgements

Funding

This research was supported by a grant from the K. Matsushita Foundation (25-G18).

Declaration of Conflict of Interests

The authors declared no potential conflicts of interest with respect to the research, authorship and publication of this article.

Declaration about the scope of AI utilization

The author did not use AI in the preparation of this article.

Recommended Citation

Chen, K. (2025). Institutional Sustainability in AI Governance: Comparing Paths in the EU, Japan, and Taiwan. Yearbook of Antitrust and Regulatory Studies, 18(32). Retrieved from https://press.wz.uw.edu.pl/yars/vol18/iss32/6