World Bank - Global Trends in AI Governance

2024

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AI-generated summary

1) This World Bank report provides policymakers with a comprehensive comparative guide to emerging global AI governance frameworks, regulatory tools, and foundational ecosystem requirements needed to balance technological innovation with risk mitigation.
2)
- Analyzes foundational prerequisites for national AI ecosystems, including digital infrastructure, computing power, high-quality data, and human capital development.
- Compares four core regulatory approaches—industry self-governance, soft law and standards, regulatory sandboxes, and hard law—highlighting their specific trade-offs, strengths, and limitations.
- Examines global institutional frameworks, stakeholder ecosystems, and practical country case studies (e.g., EU, Brazil, US, China, UK) for designing agile, context-specific national AI strategies.
3) Tags: Artificial Intelligence, AI Governance, Regulation, Policy Frameworks, World Bank

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