The future of AI cityAI city construction is grounded in a five-element advancement model, encompassing citizen needs, AI 2.0AI 2.0, infrastructure, governanceGovernance models, and professional talent. These elements interact synergistically to form a robust urban development framework. Citizen needs serve as the cornerstone for driving urban intelligence, fostering technological advances and innovative applications by addressing fundamental requirements such as survival, health, and personal fulfillment. The development of intelligent infrastructure, including information systems, 5G networks, and IoT technologies, provides critical support for efficient urban operations. Governance models have evolved from traditional top-down approaches to collaborative frameworks, leveraging AI technology to enhance urban management capabilities and boost the overall competitiveness of urban clusters. Furthermore, policy support and risk mitigation mechanisms are essential components in ensuring technical safety and social stability within AI cities. This chapter’s proposed model offers a comprehensive framework and strategic insights for the planning and implementation of future AI cities.

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The Iteration Mode of the AI City

  • Siegfried Zhiqiang WU

摘要

The future of AI cityAI city construction is grounded in a five-element advancement model, encompassing citizen needs, AI 2.0AI 2.0, infrastructure, governanceGovernance models, and professional talent. These elements interact synergistically to form a robust urban development framework. Citizen needs serve as the cornerstone for driving urban intelligence, fostering technological advances and innovative applications by addressing fundamental requirements such as survival, health, and personal fulfillment. The development of intelligent infrastructure, including information systems, 5G networks, and IoT technologies, provides critical support for efficient urban operations. Governance models have evolved from traditional top-down approaches to collaborative frameworks, leveraging AI technology to enhance urban management capabilities and boost the overall competitiveness of urban clusters. Furthermore, policy support and risk mitigation mechanisms are essential components in ensuring technical safety and social stability within AI cities. This chapter’s proposed model offers a comprehensive framework and strategic insights for the planning and implementation of future AI cities.