Theoretical Logic, Key Application Scenarios, and Future Pathways of AI-Driven Digital and Intelligent Transformation in Sports Officiating
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Abstract
The AI-driven digital and intelligent transformation of sports officiating not only enhances the scientific rigor and impartiality of officiating work but also unlocks new pathways for professional advancement in the field. Grounded in a structured framework comprising four interconnected pillars-the data layer as foundational infrastructure, the technological layer as driving engine, the institutional layer as regulatory safeguard, and the system evolution layer as dynamic catalyst-this transformation drives upgrading of officiating decision-making systems, restructuring of knowledge architecture, modernization of governance models, and expansion of value ecosystems. By fostering open and collaborative technological foundations, innovating AI education supply systems, refining agile governance response mechanisms, and creating cross-disciplinary knowledge integration platforms, the healthy digital and intelligent transformation of sports officiating can be realized. These advancements inject renewed momentum and vitality into the sustainable development of global sports, while laying a robust foundation for advancing high-quality sports development and the strategic realization of a global sports powerhouse.
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