AI Governance

AI governance has moved beyond academic debate and into a critical phase of institutional development. In 2024, the EU AI Act came into force, establishing the world's first risk-tiered regulatory framework for artificial intelligence. The United States has pursued a voluntary compliance approach through executive orders and the NIST AI Risk Management Framework. Taiwan's AI Basic Act, passed in 2025, codified seven guiding principles. Yet legislation is only the starting point — translating principles into enforceable institutional architectures presents challenges far more complex than most anticipated.

In 2026, the focus of AI governance is shifting from "whether to regulate" to "how to regulate." The rise of Agentic AI introduces entirely new governance dilemmas: when AI agents can autonomously execute cross-system tasks, manipulate computer interfaces, and even make decisions on behalf of humans, do regulatory frameworks premised on AI as a "tool" still hold? Singapore has released the world's first governance framework for agentic AI, and the EU AI Act enters full enforcement in August 2026 — businesses must find a balance between compliance pressures and the drive to innovate.

This topic brings together Prof. Hung-Yi Chen's systematic research on AI governance, spanning international comparisons (EU, U.S., Singapore, Taiwan), corporate governance practice (board-level AI oversight, generative AI deployment frameworks), technical safety (AI agent protocol standards, open-source security challenges), and law-and-economics analysis (AI copyright, algorithmic accountability). Each article is grounded in rigorous academic methodology and enriched by industry observation, offering actionable insights for policymakers, business leaders, and researchers.