ORIGINAL ARTICLE
City AI: a strategic framework for urban artificial intelligence application and development
Given the potentially large economic and social impact of Al technological advancement like LLMs, further in-depth thinking is demanded about the ways in which Al exists in cities. In addition to discussions on ethical regulation, there are relatively few cross-cutting studies on how to realize the synergistic development of Al innovation and city, especially taking Al as a complete industry and governance object, under a broader urban and social context. Based on the policy practice of Al development in Shenzhen, this paper proposes a comprehensive framework for the inte-grated development of Al and the city, which involves the comprehensive consideration of technology systems, application scenarios, educational literacy and governance schemes. Meanwhile, the transformative trend of urban governance triggered by potential general artificial intelligence at a deeper level is further discussed in terms of plan-ning concepts, digital architecture and governance decision-makings. By city Al integration, Al is expected to be bet-ter spread into general social activities and, through the driving effect of industrial economy, contribute to the com-petitiveness and sustainable development of cities.
Executive Impact & Strategic Imperatives
The study highlights critical areas where AI, particularly Large Language Models, can revolutionize urban development and governance, driving significant advancements in efficiency and innovation.
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Projected Efficiency Gain in Urban Services
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Key Stakeholders in AI Policy Formulation
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Annual AI Sector Investment (Estimated)
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Typical AI Strategy Implementation Horizon
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Technology System
Application Scenarios
Governance Scheme
Economic Impact
Shenzhen's AI Development Path
Shenzhen's AI policy emphasizes a bottom-up, application-oriented generative path, fostering a dynamic industrial ecosystem through innovation.
Application Scenarios Drive Models & Algorithms
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Software Pulls Hardware Deployment
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Independent R&D Ecologies Formed
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Dynamic Industrial Ecosystem Emerges
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AI Integrated Across All Industries
| Category | Key Scenarios | Implementation Mode |
|---|---|---|
| Public Service |
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Government / Market |
| Transportation |
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Industry / Government |
| Urban Management |
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Government |
| Planning & Construction |
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Industry / Government |
| Health & Medicine |
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Industry / Government / Market |
| Manufacture |
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Industry / Market |
Multi-Actor Policy Collaboration in Shenzhen
Shenzhen's AI development plan was formulated through extensive multi-actor collaboration. This involved workshops, discussions with governmental authorities, major enterprises, research institutions, and industry associations. The draft underwent public consultation, receiving feedback from over 35 agents, ensuring a comprehensive and responsive framework. This iterative approach aims to create synergy between AI innovation and urban governance, establishing overarching goals and a healthy market environment.
- Workshops and group discussions with diverse stakeholders (government, industry, academia, public)
- Focus on 'Demands, issues, directions, and strategies' for general AI development
- Drafting and revision based on recorded presentations and debates
- Semi-public consultation with over 35 agents (public departments, enterprises, associations, university)
- Emphasis on a dynamic work chain for continuous updates, monitoring, and feedback
Leading
AI Industry Ecosystem Status (Nationally)
Recognized at the cutting-edge level nationally, Shenzhen boasts a complete AI industry ecosystem, demonstrating strong leadership in industrial scale and enterprise count, driving overall economic development.
Calculate Your Enterprise AI ROI
Estimate the potential efficiency gains and cost savings by integrating AI into your urban operations, inspired by the frameworks discussed.
Estimated Annual Savings
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Annual Hours Reclaimed
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Your AI Integration Roadmap
A phased approach to integrate advanced AI into your enterprise, leveraging strategic planning and cross-cutting studies for sustainable development.
Phase 1: Strategic Assessment & Pilot Programs
Conduct a thorough assessment of existing infrastructure and identify high-impact pilot scenarios. Engage key stakeholders to align AI initiatives with strategic business goals.
Phase 2: Framework Development & Skill Building
Establish a comprehensive AI governance framework, focusing on ethical considerations, data management, and talent development. Initiate training programs for employees.
Phase 3: Integration & Optimization
Integrate AI solutions into core urban or enterprise systems. Continuously monitor performance, gather feedback, and iterate on models and applications for optimal results.
Phase 4: Scaled Deployment & Continuous Innovation
Expand successful AI applications across the organization or city. Foster an environment of continuous innovation and adapt to evolving AI capabilities and market needs.
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