江汉学术 ›› 2025, Vol. 44 ›› Issue (6): 119-128.doi: 10.16388/j.cnki.cn42-1843/c.2025.06.013

• 哲学 • 上一篇    

生成式人工智能对人的主体性的挑战及应对——以DeepSeek为考察对象

郭佳楠   

  1. 亚洲理工学院 发展与可持续性系,泰国 空滦 12120
  • 收稿日期:2025-07-12 出版日期:2025-12-15 发布日期:2025-11-26
  • 作者简介:郭佳楠,男,河北邢台人,亚洲理工学院发展与可持续性系博士生,中国人民大学数字人文研究中心学生研究员,Email: nannan1232009@163.com。
  • 基金资助:
    国家社科基金高校思政课研究专项“法治教育融入高校思政课流程优化研究”(21VSZ031);郑州工商学院科研创新项目“基于ChatGPT类生成式人工智能的红色文化传播现状与策略研究”(2023-KYZD-01);郑州工商学院校级教育教学改革研究重点项目“中国特色工匠精神视域下民办高校大学生创新能力培养策略研究”(GSJG2023003)

Challenges of Generative AI to Human Subjectivity and Responses:A Study of DeepSeek

GUO Jianan   

  1. Department of Development and Sustainability,Asian Institute of Technology,Kong Luan Thailand 12120
  • Received:2025-07-12 Online:2025-12-15 Published:2025-11-26

摘要: 随着以DeepSeek为代表的生成式人工智能大模型在知识生产、语言生成和社会交往等领域的广泛应用,技术对人的主体性构成了前所未有的冲击。基于马克思主义主体理论,构建“劳动主体性、交往主体性、认知主体性”的三重分析框架,系统阐释生成式人工智能大模型深度介入劳动、交往与认知领域时,因技术的运用受资本逻辑的牵制,人机关系失衡以及物的逻辑僭越人的逻辑而引发的技术异化危机。这些危机主要包括算法逻辑对劳动价值的解构、认知黑箱对价值判断的侵蚀、技术依赖对思维能力的弱化等。为应对生成式人工智能对人的主体性的挑战,需从技术、制度与认识层面协同施策:优化以可解释性与内容标识为核心的技术设计,构建以用户知情权与数据安全为核心的保障机制,通过行业标准与立法保障筑牢主体性防线,提升公众对大模型生成内容的辨识能力和自我保护意识来巩固人在人机互动中的主体地位,实现以人为本的技术向善。

关键词: 生成式人工智能, DeepSeek, 主体性, 技术伦理, 人机协同

Abstract: As generative AI models,such as DeepSeek,are widely applied to fields like knowledge production,language generation,and social interaction,technology is posing an unprecedented challenge to human subjectivity. A triple analytical framework of labor subjectivity,communicative subjectivity,and cognitive subjectivity is established based on Marxist theory of subjectivity. It systematically elaborates that when GAI large models deeply penetrate into the fields of labor,communication,and cognition,it triggers a crisis of technological alienation due to the restriction of capital logic in the application of technology,the imbalance in the human-machine relationship,and the violation of human logic by the logic of things. These crises mainly include the deconstruction of labor value by algorithmic logic,the infringement of value judgment by cognitive black boxes,and the weakening of thinking ability due to technological dependence.To address the challenges posed by GAI to human subjectivity,concerted measures need to be taken at the technical,institutional,and cognitive levels:optimize the technical design centered on interpretability and content identification;establish a guarantee mechanism centered on users’right to know and data security;build up industrial standards and legislation to defend users’subjectivity,enhance public ability to identify and protect themselves from the content generated by large models so as to consolidate the dominant position of humans in human-machine interaction;and achieve the positive development of technology based on people-oriented principles.

Key words: generative artificial intelligence(GAI), DeepSeek, subjectivity, ethics of technology, humanmachine coordination

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