- The paper introduces the updated Global AI Vibrancy Tool (GVT), which facilitates AI vibrancy comparison across 36 countries using 42 indicators in 8 pillars.
- The tool ranks the United States, China, and the United Kingdom as leading in AI vibrancy for 2023, highlighting its use of sub-indices and customizable analysis options.
- The methodology involves normalizing data and aggregating indicators into pillars and a composite index, providing a transparent and flexible approach to tracking global AI progress.
The paper "The Global AI Vibrancy Tool" from November 2024 introduces an updated version of the Global AI Vibrancy Tool (GVT), which is designed to facilitate comparison of AI vibrancy across 36 countries through an interactive suite of visualizations. This tool uses 42 indicators categorized into 8 pillars to provide a comprehensive evaluation of AI progression in these nations. It is particularly aimed at assisting policymakers, industry leaders, researchers, and the general public in understanding the national progress in AI development.
- Scope and Indicators: The tool compares up to 36 countries using 42 indicators across 8 different pillars.
- AI Vibrancy Ranking: The Global AI Vibrancy Ranking for 2023 places the United States first, followed by China and the United Kingdom. Emphasis is given to the ascendance of smaller nations, such as Singapore, especially when benchmarked on per capita bases.
- Sub-Indices: The tool includes sub-indices like the Innovation Index, Economic Competitiveness Index, and the Policy, Governance, and Public Engagement Index to allow detailed exploration of specific AI dimensions.
- Interactivity and Customization: Users can customize the visualizations for in-depth analysis suitable to their preferences, including adjusting weights for indicators and pillars.
Pillars of AI Vibrancy:
- Research and Development (R&D): Assessed through journal and conference publications, citations, and patent grants.
- Responsible AI: Evaluated using conference submissions on topics like fairness, accountability, and transparency in AI.
- Economy: Covers elements such as private investment, job postings, and skill penetration in AI.
- Education: Measured through the number of AI paper programs available.
- Diversity: Focuses on gender equality metrics within AI talent.
- Policy and Governance: National AI strategies and legislative activities are evaluated.
- Public Opinion: Considers public sentiment and discussions surrounding AI.
- Infrastructure: Includes metrics such as supercomputers, compute capacity, and internet speed.
Methodology:
The index construction involves normalizing data across diverse metrics, calculating pillar scores via weighted aggregation, and then integrating these into a comprehensive AI vibrancy index. Moreover, the methodology provides options for handling missing values and weighting pillars and indicators, enabling nuanced assessments tailored to specific analytical needs.
Numerical Results and Observations:
- The United States leads the 2023 AI vibrancy index with a significant margin, reflecting robust R&D activities and advanced infrastructure. In 2023, it dominated in AI private investment and the development of notable machine learning models.
- China ranks second, with significant advancements in AI patents and strong R&D pursuits.
- The United Kingdom, India, and other European and Asian nations feature prominently, indicating a diverse global landscape in AI vibrancy.
Conclusion:
The GVT is a sophisticated tool that offers comparative insights into global AI activities. By collating vast amounts of data and enabling flexible user interactions, it provides a transparent and comprehensive method to measure and track AI progress worldwide. Future enhancements include expanding its scope and data sourcing, thus increasing the GVT's applicability and the breadth of its analysis.