With the rapid advancement of technology and the continuous evolution of society, Artificial Intelligence (AI) has become a key driver of technological development. While AI is accelerating social transformation, it also presents a range of challenges. This study utilizes the Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation methods to explore collaborative innovation mechanisms for AI-driven government public services. The goal is to enhance governance efficiency and service quality, ultimately fostering sustainable urban development. By analyzing the application of AI in chinese government operations, this research identifies key issues and challenges in leveraging AI for collaborative governance. Based on these findings, the study proposes optimization strategies to strengthen AI’s role in government governance in china. This research offers both theoretical and practical insights into the collaborative innovation of AI in public services, providing new perspectives and methodologies for advancing AI-driven government governance.

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