Governing the Algorithmic State: International Law and the Challenge of AI-Driven Decision-Making

Authors

DOI:

https://doi.org/10.63954/mjv4rf04

Keywords:

Artificial Intelligence, Algorithmic State, International Law, Sovereignty, Human Rights

Abstract

The integration of artificial intelligence into state decision-making represents one of the most profound transformations in contemporary governance, giving rise to what this Article terms the "Algorithmic State", a polity where sovereign authority is mediated through computational processes operating at scales and speeds beyond human comprehension. This transformation poses fundamental challenges to the architecture of public international law, which remains rooted in assumptions of human discretion, deliberative statecraft, and political accountability. This Article examines the evolution of international AI governance, analyzing the interplay between soft law instruments and emerging hard law frameworks, including the EU AI Act, the Council of Europe Framework Convention on Artificial Intelligence, and various UN initiatives. It identifies three principal challenges AI poses to international law: the reconceptualization of sovereignty in an era of transnational algorithmic governance, the tension between algorithmic decision-making and human rights protections, and the accountability deficit created when decisions emerge from complex AI systems. The Article proposes a multi-layered governance framework that combines binding international commitments on foundational principles with flexibility for national implementation, sector-specific regulation, and technical standard-setting. It argues that effective governance of the Algorithmic State requires rethinking traditional concepts of sovereignty through a framework that recognizes different dimensions of AI governance, technical capabilities, data sovereignty, regulatory autonomy, and strategic positioning, while balancing international cooperation with respect for national legal systems and developmental priorities. The Article concludes by identifying priorities for future development in international AI law, including strengthening institutional capacity, addressing the accountability deficit, and bridging the gap between human rights aspirations and governance capabilities in developing countries.

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Published

2026-03-30