Executive Guide
Research Summary: Policy Convergence and Divergence Across National and Within Regional AI Strategies: A Policy Design Element Analysis
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 12 August 2026
- Last updated
- 22 September 2026
- Reading time
- 1 min
- Publication type
- Executive Guide
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
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
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- Verification ID
- ASA-EXG-2026-00168
- Version
- v1.0 · r0
- Issued
- 12 August 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Policy Convergence and Divergence Across National and Within Regional AI Strategies: A Policy Design Element Analysis
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Provenance status
- Attribution requires verification
- Rights
- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
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