生成式人工智能赋能全民健身公共服务高质量发展研究OA
A Study of Generative AI Enabling High-Quality Development of Public Fitness Services
生成式人工智能作为人工智能领域的前沿技术,正深度赋能全民健身公共服务高质量发展.运用文献资料法、逻辑分析法,探析赋能全民健身公共服务高质量发展的内在机理、现实困境与实践路径.研究认为,生成式AI通过构建普惠个性化服务新生态、优化城乡资源新部署、创立绿色发展新范式及塑造协同治理新格局揭示了赋能的内在机理.然而仍面临数据失真与算法脱节、信息茧房与数字鸿沟、资源失调与转型受阻、隐私与监管缺失、主体协同与权责模糊等困境.提出深化GAI创新提升服务能力、破除信息茧房弥合数字鸿沟、畅通资源循环推动绿色转型、完善监管加强伦理治理、构筑协同体系厘清权责边界等路径.
Generative AI,as a cutting-edge technology,is profoundly transforming the national fitness public service towards high-quality development.Using document analysis and logical analysis,this study examines how generative AI enables this development through its internal mechanisms,challenges,and pathways.The research finds that generative AI reconstructs service system mecha-nisms by building an inclusive,personalized service ecosystem,optimizing urban-rural resource allocation,establishing sustainable development paradigms,and fostering collaborative governance.Current challenges include data inaccuracies,algorithmic disconnects,information cocoons,digital divides,resource imbalances,green transition barriers,privacy vulnerabilities,ethical oversight gaps,and governance ambiguities.Proposed pathways involve enhancing GAI applications,breaking information barriers,improving resource flow,strengthening safety oversight,and establishing collaborative governance.
陆冠宇;陈家起;蒋全虎;高奎亭
南京师范大学体育科学学院,江苏南京 210023南京师范大学体育科学学院,江苏南京 210023南京师范大学体育科学学院,江苏南京 210023山东理工大学体育学院,山东淄博 255000
社会科学
体育管理全民健身高质量发展生成式人工智能
Sports managementMass fitnessHigh-quality developmentGenerative Artificial Intelligence
《湖北体育科技》 2026 (3)
37-43,7
国家社会科学基金一般项目(24BTY007).
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