为强化体育知识生产全过程中规范、透明、负责任地使用人工智能的集体意识，守好体育学术创新的真实性、原创性与学术诚信的基石，本刊组织国内5名学者对人工智能时代体育知识生产面临的价值重塑与边界挑战进行专题研讨。复旦大学叶超认为，人工智能的角色与边界问题核心在于实现人机协同与动态共处。在应对人工智能介入体育知识生产的专业化与日常化二元情境时，应明确差异化的伦理框架与实践指引，并在技术赋能与人文价值坚守之间寻觅平衡。浙大城市学院郭晴认为，人工智能为体育学术研究带来工具性便利，但也引发学术原创性、论证深度、学术诚信方面的挑战。学术期刊应构建透明、负责的新规范，研究者应实现从“工具使用者”到“智慧驾驭者”的角色转变。上海体育大学傅维杰认为，人工智能重塑体育知识的生产方式，体育学术研究需聚焦人工智能的盲区与体育学科的核心属性，从而保持独特性，体育科研工作者应以“技术赋能而非替代”为核心认知，在使用人工智能辅助写作时坚守伦理边界。华南师范大学谭广鑫认为，在体育学术研究中，人工智能不应成为利益驱动的工具，需要始终保持学术研究的公正性，明确其使用范围与伦理边界，尤其是期刊编辑应当做好学术出版的“守门员”。常州大学徐正旭认为，人工智能介入体育知识生产利弊共存，面对其在原创性、科学性和可归责性方面滋生的伦理风险，应推动技术革新化解普遍性伦理风险，强化制度规范解决特殊性伦理风险，开展数字素养教育提升伦理风险识别能力。

To strengthen the collective awareness of standardized, transparent, and responsible artificial intelligence(AI) usage in the entire process of sports knowledge production and to safeguard the foundation of authenticity,originality and academic integrity in sports academic innovation, five scholars were invited by the Journal to conduct a thematic discussion on the value reshaping and boundary challenges faced by sports knowledge production in the AI era. Ye Chao from Fudan University argued that the core issue of AI's role and boundaries lies in achieving human-machine collaboration and dynamic coexistence. When addressing the dual contexts of AI's involvement in sports knowledge production—professional and daily-life scenarios—differential ethical frameworks and practical guidelines should be established, while seeking the balance between technological empowerment and the adherence to humanistic values. Guo Qing from Hangzhou City University noted that AI brings instrumental convenience to sports academic research but also raises challenges in academic originality,argument depth and academic integrity. Academic journals should establish transparent and responsible new norms, while researchers must transition from being "tool users" to "the master of wisdom". Fu Weijie from Shanghai University of Sport observed that AI reshapes the production methods of sports knowledge, requiring sports academic research to focus on AI's blind spots and the core attributes of the sports discipline to maintain uniqueness. Sports researchers should prioritize the cognitive principle of "empowerment rather than replacement",adhering to ethical boundaries when using AI-assisted writing. Tan Guangxin from South China Normal University emphasized that in sports academic research, AI should not become a profit-driven tool. Its application must always uphold academic impartiality, clearly define its scope and ethical boundaries, particularly for journal editors who act as "gatekeepers" of academic publishing. Xu Zhengxu from Changzhou University pointed out that AI's involvement in sports knowledge production has both advantages and disadvantages. To address the ethical risks it generates in originality, scientific rigor and accountability, technological innovation should be promoted to resolve universal ethical risks, while institutional norms should be strengthened to tackle specific ethical risks.Additionally, digital literacy education should be implemented to enhance the ability to identify ethical risks.