In recent years, global AI principles and governance frameworks have gradually taken shape, including the OECD AI Principles, the G20 AI Guidelines, the UNESCO Recommendation on the Ethics of Artificial Intelligence, and various U.S. Executive Orders on AI. However, a key challenge remains: how can these high-level principles be effectively translated into concrete local policy design, mechanisms for public participation, and institutional practice?

(1) How Are Global Principles “Translated”?

• The core values embedded in global AI governance principles (transparency, accountability, human-centeredness)
• The institutional gaps and implementation challenges that arise when these principles are localized

• Research insights from the TRAILS think tank: How can citizens better understand and meaningfully participate in AI governance?
• Can public participation help mitigate the concentration of power among technical experts (“technocratic dominance”)?

• How is the United States seeking to secure AI leadership through export controls, standards-setting, and supply chain restructuring?
• Taiwan’s position and strategic choices within the geopolitical landscape of global AI policymaking

Hsien-Lee Tseng, Associate Professor, Department of Public Administration, National University of Tainan

Susan Ariel Aaronson, Research Professor; Director, Digital Trade and Data Governance Hub Research Faculty
Nai-Yi Hsiao, Associate Professor, Department of Public Administration, National Chengchi University
Huei-Ying Luiclle Hsu, Assistant Professor, Soochow University School of Law

Details
https://internetweek.tw/2026/indexE01.html