作　者：马费成 陈帅朴
关键词：生成式人工智能；哲学社会科学理论体系；哲学社会科学研究方法
摘　要：

生成式人工智能作为基于海量数据训练的模型，涵盖了丰富的社会价值和事实知识，其所展现的机器智能显著提升了各类社会生产与科学研究的效能。哲学社会科学强调与新一轮科技革命和产业变革交叉融合发展，生成式人工智能除了作为前沿技术工具丰富了哲学社会科学的研究手段，其更为突出的特征是成为哲学社会科学的研究对象，极大扩展了研究视角和观察视域。鉴于二者融合具有释放巨大势能的潜力，首先应当剖析生成式人工智能赋能哲学社会科学的前提基础，在此基础上围绕赋能过程中的创新模式与核心挑战进行深入探讨，最后系统提出赋能路径的建设策略，从而厘清生成式人工智能对于哲学社会科学的赋能机理，创新哲学社会科学的理论体系和研究方法，推进中国特色哲学社会科学的建设与发展。

 

GAI-Empowered Philosophy and Social Sciences Research

Ma Feicheng, Chen Shuaipu（Wuhan University）

Abstract Generative artificial intelligence (GAI), an AI technology based on models trained on vast datasets which encompass a wealth of social values and factual knowledge, has significantly enhanced the efficiency of various social production sectors and scientific research with its machine intelligence. With the interdisciplinary integration and development of philosophy and social sciences with the new round of technological revolution and industrial transformation, GAI has become an advanced technological tool that enriches research methodologies within these fields, as well as a critical research subject, significantly expanding both research perspectives and observational frameworks. Given the profound potential for synergy between these domains, it is crucial to first examine the foundational conditions under which GAI can effectively empower philosophy and social sciences. Building upon this foundation, a thorough investigation into the innovative models and key challenges encountered during the empowerment process is necessary. Ultimately, a systematic strategy must be proposed to construct empowerment pathways, thereby clarifying the mechanisms through which GAI enhances philosophy and social sciences, fosters innovation within theoretical frameworks and research methodologies, and facilitates the advancement of philosophy and social sciences with Chinese characteristics.

Key words generative artificial intelligence; the theoretical system of philosophy and social sciences; research methods of philosophy and social sciences

 

■作者简介 马费成，武汉大学人文社会科学资深教授，武汉大学信息管理学院教授，湖北 武汉 430072；陈帅朴，武汉大学信息管理学院博士研究生。

 

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