[2507.11546] AI Governance InternationaL Evaluation Index (AGILE Index) 2025

# Computer Science > Computers and Society

**arXiv:2507.11546** (cs)


\[Submitted on 10 Jul 2025 ( [v1](https://arxiv.org/abs/2507.11546v1)), last revised 30 Jul 2025 (this version, v2)\]

# Title:AI Governance InternationaL Evaluation Index (AGILE Index) 2025

Authors: [Yi Zeng](https://arxiv.org/search/cs?searchtype=author&query=Zeng,+Y), [Enmeng Lu](https://arxiv.org/search/cs?searchtype=author&query=Lu,+E), [Xiaoyang Guo](https://arxiv.org/search/cs?searchtype=author&query=Guo,+X), [Cunqing Huangfu](https://arxiv.org/search/cs?searchtype=author&query=Huangfu,+C), [Jiawei Xie](https://arxiv.org/search/cs?searchtype=author&query=Xie,+J), [Yu Chen](https://arxiv.org/search/cs?searchtype=author&query=Chen,+Y), [Zhengqi Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+Z), [Dongqi Liang](https://arxiv.org/search/cs?searchtype=author&query=Liang,+D), [Gongce Cao](https://arxiv.org/search/cs?searchtype=author&query=Cao,+G), [Jin Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+J), [Zizhe Ruan](https://arxiv.org/search/cs?searchtype=author&query=Ruan,+Z), [Xin Guan](https://arxiv.org/search/cs?searchtype=author&query=Guan,+X), [Ammar Younas](https://arxiv.org/search/cs?searchtype=author&query=Younas,+A)

View a PDF of the paper titled AI Governance InternationaL Evaluation Index (AGILE Index) 2025, by Yi Zeng and 11 other authors

[View PDF](https://arxiv.org/pdf/2507.11546)

> Abstract:The year 2024 witnessed accelerated global AI governance advancements, marked by strengthened multilateral frameworks and proliferating national regulatory initiatives. This acceleration underscores an unprecedented need to systematically track governance progress--an imperative that drove the launch of the AI Governance InternationaL Evaluation Index (AGILE Index) project since 2023. The inaugural AGILE Index, released in February 2024 after assessing 14 countries, established an operational and comparable baseline framework. Building on pilot insights, AGILE Index 2025 incorporates systematic refinements to better balance scientific rigor with practical adaptability. The updated methodology expands data diversity while enhancing metric validity and cross-national comparability. Reflecting both research advancements and practical policy evolution, AGILE Index 2025 evaluates 40 countries across income levels, regions, and technological development stages, with 4 Pillars, 17 Dimensions and 43 Indicators. In compiling the data, the team integrates multi-source evidence including policy documents, governance practices, research outputs, and risk exposure to construct a unified comparison framework. This approach maps global disparities while enabling countries to identify governance strengths, gaps, and systemic constraints. Through ongoing refinement and iterations, we hope the AGILE Index will fundamentally advance transparency and measurability in global AI governance, delivering data-driven assessments that depict national AI governance

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