# Strategic AI Governance: Insights from Leading Nations

arXiv: https://arxiv.org/abs/2410.01819 · HTML: https://mlsanity.com/paper/2410.01819/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 41 references that are in the map.
- First posted on arXiv 16 Sep 2024.

## Builds on (most cited first, 1 of 1)

- [The AI Index 2022 Annual Report](https://mlsanity.com/paper/2205.03468/) (2022)

## Built on by (most cited first, 1 of 1)

- [A Primer on Large Language Models and their Limitations](https://mlsanity.com/paper/2412.04503/) (2024)

## Abstract (arXiv)

Artificial Intelligence (AI) has the potential to revolutionize various sectors, yet its adoption is often hindered by concerns about data privacy, security, and the understanding of AI capabilities. This paper synthesizes AI governance approaches, strategic themes, and enablers and challenges for AI adoption by reviewing national AI strategies from leading nations. The key contribution is the development of an EPIC (Education, Partnership, Infrastructure, Community) framework, which maps AI implementation requirements to fully realize social impacts and public good from successful and sustained AI deployment. Through a multi-perspective content analysis of the latest AI strategy documents, this paper provides a structured comparison of AI governance strategies across nations. The findings offer valuable insights for governments, academics, industries, and communities to enable responsible and trustworthy AI deployments. Future work should focus on incorporating specific requirements for developing countries and applying the strategies to specific AI applications, industries, and the public sector.