世界经济论坛-智能经济蓝图——通过区域合作提高人工智能竞争力(英)-2025.1_21页_2mb
报告摘要
Blueprint for Intelligent Economies: AI Competitiveness through Regional Collaboration
Artificial intelligence (AI) is poised to drive economic growth and innovation, but many nations face barriers such as energy-intensive infrastructure, limited data access, and skills gaps, risking exclusion from its benefits. To address this, the World Economic Forum proposes a holistic "blueprint" for inclusive AI development, emphasizing three interconnected strategic objectives: building sustainable AI infrastructure, curating diverse high-quality datasets, and establishing ethical guardrails for safety, security, and fairness. This blueprint requires collaboration among governments, enterprises, academia, and civil society.
Key Pillars of the Blueprint
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Building Sustainable AI Infrastructure
Challenges include high energy consumption, supply chain vulnerabilities, and costs. Solutions involve leveraging green energy, international trade corridors, public-private partnerships (PPPs), and subsidized access to AI-ready devices, especially for emerging economies. -
Curating Diverse, High-Quality Datasets
Ensures equitable AI development by addressing issues like data imbalance, language diversity, and ownership. Initiatives include open data platforms, synthetic data generation, regional datasets, and multilingual language banks to promote inclusivity and fairness. -
Establishing Guardrails for Ethics, Safety, and Security
Prevents misuse and bias through ethical frameworks, accountability measures, and international cooperation. Key efforts include aligning with UNESCO’s AI ethics guidelines, developing national/regional governance frameworks, and ensuring responsible AI deployment.
Call for Regional Collaboration
Successful implementation hinges on multistakeholder partnerships. For instance, PPPs can accelerate infrastructure development, while regional frameworks like digital public infrastructure (UPI, Rwanda-Qatar collaboration) improve accessibility. The blueprint serves as a foundation for regional strategies, with a focus on identifying actionable enablers for different AI maturity levels.
Conclusion
AI’s transformative potential demands proactive measures to avoid widening the digital divide. By fostering collaboration, establishing robust infrastructure, ensuring diverse data access, and implementing ethical safeguards, nations and regions can harness AI for inclusive economic and societal growth. Future phases will focus on implementing these strategies through regional dialogue and pilot projects.
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