人工智能技术驱动体育裁判数智化转型的理论逻辑、重点场景与未来进路

    Theoretical Logic, Key Application Scenarios, and Future Pathways of AI-Driven Digital and Intelligent Transformation in Sports Officiating

    • 摘要: 人工智能技术驱动的体育裁判数智化转型,不仅有助于提升裁判工作的科学性和公正性,还为体育裁判的职业发展开辟了新路径。人工智能技术驱动裁判数智化转型遵循着以数据层为基石、技术层为引擎、制度层为保障、系统演进层为动能的逻辑框架,在裁判决策体系升级、知识体系重塑、治理模式革新和价值生态拓展4个方面发挥了重要作用。通过构建开放协同的技术底座、创新智能教育供给体系、完善敏捷治理响应机制以及打造跨界知识融通平台,实现体育裁判的健康数智化转型,为全球体育事业的可持续发展注入新的动能与活力,也为推动体育事业高质量发展、实现体育强国的战略目标筑牢根基。

       

      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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