人工智能提升运动表现的前沿进展、困境反思与优化策略

Frontier Advances,Dilemma Reflections and Optimization Strategies for Artificial Intelligence to Enhance Sports Performance

运用文献资料法等对人工智能提升运动表现领域的国内外前沿研究进展与困境进行系统梳理与反思。发现当前人工智能提升运动表现的研究主要聚焦于人工智能促进运动训练与监控系统化、竞技能力与参赛策略分析可视化、心理训练与监控精细化、运动损伤与防治科学化等方面。主要存在如下困境:人工智能提升运动表现的科技基础与制度支撑薄弱;人工智能提升运动表现存在身体“主体地位”被剥离的伦理风险;人工智能提升运动表现的信息安全问题显现;人工智能提升运动表现的法律支持缺失。基于理论认知与技术研发层面提出优化策略:强化制度与法律支撑,重视伦理与信息安全,构建人工智能“体育化”的理论支撑与政策环境;夯实科技创新基础,融合科技创新技术,突破科技创新壁垒,激活人工智能“体育化”的创新驱动。

Literature review is adopted to discuss the frontier progress and dilemma research in the field of artificial intelligence to enhance sports performance at home and abroad.It is found that current AI to enhance sports performance mainly focus on the systematization of training and monitoring,the visualization of competitive ability and strategies,the refinement of psychological training and monitoring,as well as the scientific sports injury prevention and treatment.So far there exist such problems as insufficient driving force for AI to enhance sports performance,weak technology and system support,the ethics risks,the separated"subjectivity"of body in sports,information security,and the lacking in legal support,etc.Hence optimization strategies based on theory and technical research and development are put forward as follows:to strengthen system and legal support as well as the ethics and information security so as to construct the theoretical support and policy context of the AI in sport;to solidify scientific innovation basis and integrate technologies to break through barriers and activate the innovation-driven sporting AI.