Year: 2025
Type: article
Abstract: Artificial Intelligence (AI) is reshaping the entire lifecycle of sports event management, from event preparation to spectator experience, and from competitive decision-making to commercial operations, marking a paradigm shift. This paper systematically analyzes the application mechanisms of AI in four core scenarios: athlete performance optimization, referee decision support, event security management, and fan interaction innovation, revealing the management model transformation achieved through data-driven approaches, real-time responses, and personalized services. It also discusses challenges such as technology ethics, data sovereignty, and algorithm transparency, and proposes a "technology-institution-humanity" collaborative governance framework, providing theoretical support and practical pathways for the intelligent transformation of the sports industry.
Author: Zehui Li
Institution: Syracuse University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409265270