AI and Service Efficiency in the Public Sector: Empirical Insights from Sports, Tourism, and Education

Abstract

This article systematically explores the empowering characteristics, practical challenges, and optimization paths of AI-enabled
digital transformation of public services. In terms of empowering features, AI achieves service precision through technologies such as tourist
profiling, biometric analysis, and learning analysis; Relying on intelligent prediction, the sharing economy, and cloud-based configurations to
improve resource allocation efficiency. However, digital transformation faces three challenges: data governance, technology adaptation, and
service ethics. The optimization path includes building a three-level data governance system of “provincial coordination - municipal collaboration - grassroots implementation”, promoting technical standardization of service interface specifications, metadata standards, and knowledge graph co construction, and improving the ethical framework covering ethical review, fair certification, and value alignment. Research
provides theoretical references for balancing technological innovation and public value.