Abstract:

The integration of artificial intelligence (AI) and augmented reality (AR) technologies propels digital twin cities towards dynamic interaction and evolution, facilitating the optimization of urban governance paradigms. Drawing on Kevin Kelly’s Mirror Worlds theory, this paper constructs an integrated governance analysis framework encompassing “perception-cognition-decision-making-interaction”, dissecting the intrinsic mechanisms by which the integration of AI and AR empowers digital twin city governance. An empirical study is conducted using smart glasses as a terminal, incorporating scenarios of fire emergency response and community governance. The research reveals that the deep integration of the two can drive urban governance towards phased optimization, transitioning from passive response to limited active intervention, from empirical decision-making to the initial stages of scientific decision-making, and from fragmented management to local system coordination. Finally, the paper explores challenges and countermeasures related to data privacy and algorithmic fairness, providing theoretical and practical references for the development of digital twin cities.

Key words: digital twin city, AI, AR, governance paradigm, smart glasses, technology integration