乔治梅森大学-全球人工智能基础设施报告（英）-2023.8-49页_1mb

2023 Global AI Infrastructures Report Summary

Authors: J.P. Singh, Amarda Shehu, Caroline Wesson, Manpriya Dua
Foreword by: David A. Bray
Key Findings:

1. Global AI Strategy Diversity:

   • 54 countries have published national AI policies, showcasing diverse objectives.
   • Countries cluster into groups (e.g., EU, Latin America, British Influence) based on shared policy priorities.

2. "AI Wardrobe" Framework:

   • AI strategies are conceptualized as selecting "clothing items" (e.g., data governance, ethics, R&D) from a global policy "wardrobe".
   • Countries combine these elements to form unique national AI strategies tailored to their needs.

3. Policy Depth and Mechanisms:

   • Policy depth varies, with leading nations like the US and China focusing on technical capabilities, while the EU emphasizes data governance and ethics.
   • Within 54 national plans, intra-national documents reveal deeper policy details across topics like education, transportation, and contracts.

4. Comparative Analysis:

   • The report provides a granular empirical analysis using NLP methodologies, highlighting convergence in policy mechanisms (e.g., data privacy, AI safety) despite regional differences.

Summary:
The 2023 Global Artificial Intelligence Infrastructures Report analyzes 213 national and domestic AI policy documents using Latent Dirichlet Allocation (LDA), identifying common elements and unique dynamics in global AI strategies.