Policy Convergence and Divergence Across National and Within Regional AI Strategies: A Policy Design Element Analysis

The research by arXiv examines national and regional AI strategies to identify convergences and divergences in policy design elements. The study analyzes 74 national and 3 regional AI strategies, noting a gap in existing literature regarding the horizontal (country-to-country) and vertical (region-to-country) evolution of these policy elements over time.

Why it matters

Understanding the commonalities and differences in AI policy design across nations and regions is crucial for anticipating future regulatory landscapes and fostering international collaboration. This analysis can inform the development of more robust and globally harmonized AI governance frameworks, mitigating potential fragmentation and ensuring effective global AI development.

Key insights

• Governments globally are developing national and regional AI strategies in response to AI expansion.
• The study aims to identify common practices and regional variations in AI policy.
• It addresses a gap in understanding how AI policy design elements converge or diverge over time.
• Analysis includes 74 national and 3 regional AI strategies from UN member states.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2608.11006