“技术羞耻”：人工智能时代社会科学知识生产的主体性危机与解释权重构“Technological Shame”: The Crisis of Subjectivity and the Reconstruction of Interpretive Authority in Social Science Knowledge Production in the Age of Artificial Intelligence
臧雷振
摘要(Abstract)：
人工智能正深刻改变社会科学知识生产的组织方式、评价标准与认知逻辑，推动知识生产由解释导向转向预测导向、由文化资本竞争转向技术资本竞争、由研究者主导转向人机协同。在这一秩序调整的背景下，研究者的主体经验层面产生了一种“技术羞耻”。“技术羞耻”并非源于技术能力不足，而是知识生产秩序调整过程中学术合法性标准迁移所引发的结构性情感，即研究者因自身解释逻辑受到预测逻辑挤压而产生的认同焦虑。具体表现为技术能力通过社会暴露与规范内化不断转化为身份差异，进而削弱研究者的主体认同与解释自信。面对这一挑战，社会科学应重新确立问题定义、规范判断和意义赋予在知识生产中的核心地位，重塑研究者的解释权与主体性。这既是回应人工智能时代知识秩序变革的现实路径，也为建构自主知识体系、实现解释权重构提供了一个新的分析框架。
关键词(KeyWords)： 人工智能;“技术羞耻”;知识生产;主体性;解释权
基金项目(Foundation): 教育部哲学社会科学研究重大项目“中国自主政治学研究方法体系的建构”（编号：025JZDZ020）;; 中国人民大学人工智能专项项目（编号：YJXM20251207）阶段性研究成果
作者(Author): 臧雷振
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