Strategic legal frameworks for artificial intelligence: Why smaller countries must Act Now

Jelena Vujičić *

Independent researcher.
 
Research Article
World Journal of Advanced Engineering Technology and Sciences, 2024, 12(02), 953-972.
Article DOI: 10.30574/wjaets.2024.12.2.0325
Publication history: 
Received on 11 June 2024; revised on 25 July 2024; accepted on 27 July 2024
 
Abstract: 
Artificial intelligence (AI) is not only a transformative technological force but also a test of state capacity, legal adaptability, and global norm-setting. While much attention has been paid to how major powers like the United States, China, and the European Union regulate AI, smaller jurisdictions — particularly those with agile legal systems and innovation-driven economies — may hold the key to shaping a balanced, rights-respecting global AI framework. This paper explores the strategic potential of smaller countries to lead in AI governance by developing national legislation that is ethically grounded, economically attractive, and internationally aligned. Drawing on legal-comparative analysis and country case studies (Estonia, Singapore, Rwanda, Uruguay, and others), we identify core institutional, regulatory, and promotional strategies that enable small nations to become regional AI hubs and global influencers in standard-setting.
We argue that smaller countries can build legal systems that not only protect fundamental rights but also attract talent, capital, and technology. By embedding ethical safeguards, aligning with global frameworks like the EU AI Act, UNESCO’s recommendations, and OECD principles, and promoting agile implementation tools like regulatory sandboxes, smaller jurisdictions can build resilient, trusted AI ecosystems. This study provides practical guidance on how smaller countries can proactively shape global AI governance — not by imitation, but through principled legal innovation.
Keywords: 
AI governance; national AI strategies; Small states; Ethical AI; Regulatory sandboxes; Digital sovereignty; AI regulation; Algorithmic accountability; International cooperation; Legal innovation; UNESCO AI ethics; OECD AI principles; Explainable AI; Cross-border standards; Public-private partnerships; Human rights in technology
 
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Copyright information: 
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0