Abstract: Generative artificial intelligence technology has been embedded in various aspects of social science knowledge production research, not only reshaping the basic process of social science knowledge production, but also leading the intelligent research paradigm to become one of the mainstream research paradigms in the field of social science knowledge production. However, while generative artificial intelligence expands the field of social science knowledge production, it also brings challenges such as unclear data ownership, data bias, data illusion, and data arrogance in the process of processing complex data generation content, eroding the common virtue of social science knowledge production. To enhance the efficiency and quality of generative artificial intelligence in knowledge production, improve the public, fair, objective, and critical character of the social science knowledge production community, and build an ideal collaborative vision of “knowledge co creation, human-machine symbiosis”.

摘要： 生成式人工智能技术已经嵌入社会科学知识生产研究的各环节，不仅重塑了社会科学知识生产的基本过程，更引领着智能化科研范式成为社会科学知识生产领域的主流研究范式之一。然而，生成式人工智能在扩大社会科学知识生产场域的同时，其在处理庞杂的数据生成内容的过程中也引发了数据确权不清、数据偏见、数据幻觉和数据傲慢等挑战，侵蚀着社会科学知识生产共同体德性。为提升生成式人工智能在知识生产中的效能与质量，提高社会科学知识生产共同体公共性、公正性、客观性及批判性德性，以构建“知识共创，人机共生”的理想协作愿景。