Algorithmic Sovereignty and Democratic Legitimacy

The spread of AI is also the essential issue of algorithmic sovereignty and democratic validity on the automated decision-making process. This paper presents a mixed-methods comparative research on governance systems of AI in the EU, US, UK, Canada, South Korea, Taiwan and Japan. Carried out based on a multi-dimensional measurement of the institutional capacity and legal frameworks, accountability systems, and implementation performance, we discover three models of governance, comprehensive regulatory (EU-led), fragmented sectoral and adaptive hybrid approaches. Results point out such regulatory imbalances that serious gaps exist in terms of citizen impact assessment, enforcement measurement, and transnational coordination. The proposed four-pillar framework is focused on democratic legitimacy, institutional capacity, adaptive regulation, and international coordination, and the suggestions are offered on the preparation of which it is possible to implement a new level of algorithmic rule without undermining the fundamentals of democracy in phases.