AI Global Index Dataset
AI Global Index Dataset
Datasets
AI Global Index Dataset
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AI Global Index Dataset
Use Case
AI Global Index Dataset
Description
Explore the AI Global Index Dataset, which benchmarks 62 countries based on AI investment, innovation, and implementation. Discover insights on talent availability, infrastructure, government strategy.
Description:
The AI Global Index dataset evaluates 62 countries based on their AI investment, innovation, and implementation, offering a comprehensive view of global AI readiness.
The index covers:
- AI Implementation Factors
- Talent: Evaluates the availability of skilled AI professionals across different sectors.
- Infrastructure: Measures access to reliable infrastructure such as electricity, internet, and supercomputing facilities.
- Operating Environment: Assesses the legal and societal context supporting AI adoption.
- Innovation Factors
- Research: Tracks AI-related academic publications and advancements.
- Development: Assesses the growth of foundational AI platforms and algorithms.
- Investment Factors
- Government Strategy: Reviews national policies and spending on AI.
- Commercial: Highlights AI startup activities and investment in the private sector.
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Additional Subcategories
- Ethical AI Governance
- This category examines how countries address AI ethics, including bias mitigation, privacy concerns, and AI transparency.
- Public-Private Collaboration
- Evaluates the strength of partnerships between government bodies and private sector firms to drive AI research and deployment.
- AI Adoption by Industry
- Assesses AI implementation across various industries, including healthcare, manufacturing, and education, demonstrating the transformative impact of AI across sectors.
- AI in Education
- Analyzes educational programs and initiatives aimed at fostering the next generation of AI professionals, including government-funded AI institutes and private sector-led boot camps.
- AI Legislation and Policy
- This section evaluates countries’ legislative frameworks surrounding AI usage, such as data privacy laws, AI safety regulations, and intellectual property rights for AI-generated content.
Expanding the Dataset
- AI Impact on GDP: Adding metrics on how AI contributes to each country’s GDP can provide insight into the economic significance of AI investments.
- AI and Environmental Sustainability: This metric would assess how AI is being applied in projects focused on environmental protection and sustainability, such as smart grids, precision farming, and AI-driven climate modeling.
This dataset offers an expanded, holistic understanding of AI readiness, implementation, and governance across global regions, allowing stakeholders to analyze both strengths and areas for development.
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