Governing AI-Enabled Higher Education for Skills-Based Economic Development:Comparative Legal and Institutional Analysis of Singapore and Australia

Abstract

This article examines how legal and institutional governance frameworks shape the use of artificial
intelligence in higher education and how these frameworks influence skills formation, institutional
accountability, and economic development. Using a comparative institutional analysis of Singapore and
Australia, the study argues that AI-enabled higher education reform is not merely a technological
modernization agenda but a regulatory-developmental project linking law, governance, education, and labormarket transformation. Singapore represents a state-coordinated developmental governance model in which
AI policy, skills strategy, digital infrastructure, and higher education reform are closely integrated through
national planning. Australia represents a standards-based and sectorally regulated governance model in which
institutional autonomy, quality assurance, privacy law, higher education standards, and emerging AI guidance
structure implementation. The comparison reveals that Singapore’s centralized coordination enhances policy
alignment and national capability-building but may require stronger participatory accountability mechanisms.
Australia’s pluralistic model protects institutional diversity and academic autonomy but risks uneven AI
governance capacity across universities. The findings indicate that regulatory coherence, institutional
coordination, and accountable assessment reform are decisive mechanisms through which AI governance
affects educational quality and economic development. The article contributes to comparative education law
and governance scholarship by proposing a regulatory-developmental model for AI in higher education.