基于ChatGPT大语言模型应用的公共体育服务智能化:指征、风险及其规制

Intelligent Public Sports Services Based on the Big Language Model:Indications,Risks,and Regulations——Taking the Application of ChatGPT as an Example

数字时代,公共体育服务也呈现出智能化的发展趋势。作为当前人工智能技术的集大成者,ChatGPT模型在公共体育服务领域具有广泛的应用场景,在个人及群体健身、健康管理、健康咨询、体育竞技等方面,ChatGPT模型能够基于其强大的数据收集与分析能力以及拟人化的交互方式,促进公共体育服务向个性化以及智能互动的方向发展。但是,在将该模型应用于公共体育服务时也必须注重其可能带来的风险,并采取相应的法律措施予以应对。具体而言,法律风险主要表现在个人隐私利用风险、健康建议咨询风险以及公共数据安全风险3个方面。对此,防范ChatGPT智能公共体育服务风险的法律规制模式要考量算法运行规律、用户权益保护、公共体育服务领域的特殊属性和法律规制模式的融合等因素,建立以权益保障为核心的多元主体协同规制体系,完善安全和健康等法律规制内容,确立政府责任和平台责任并行的责任体系。

In the digital age,public sports service also shows the development trend of intellectualization.As the integration of current artificial intelligence technology,the ChatGPT model has a wide range of application scenes in the field of public sports service.In the aspects of individual and group fitness,health management,health consultation,sports competition,etc.,the ChatGPT model can promote the development of public sports service towards personalized and intelligent interaction based on its powerful data collection and analysis ability,as well as anthropomorphic interactive mode.However,when applying this model to public sports service,we must pay attention to its possible risks and take corresponding legal measures to deal with them.Specifically,the legal risks are mainly manifested in three aspects:the risks of personal privacy utilization,health advice consultation,and public data security.In view of this,the legal regulation mode of preventing the risks of ChatGPT intelligent public sports service should consider such factors as the operation law of algorithm,the protection of user rights,the special attribute of public sports service field and the integration of legal regulation mode,and establish a multi-subject cooperative regulation system with the protection of rights and interests as the core,improve the legal regulation contents such as safety and health,set up the parallel responsibility system of government responsibility and platform responsibility.