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思想政治教育应用人工智能的限度审思

Reflection on the Limitations of Applying Artificial Intelligence in Ideological and Political Education
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摘要 人工智能已经广泛应用于思想政治理论课教学、日常思想政治工作、网络思想政治教育等活动,潜力无限但并非万能。本体限度、认识限度、价值限度和方法限度构成了思想政治教育应用人工智能的基本限度。基于大数据构建出的“孪生”思想政治教育世界从本体意义上讲不等同于真实的、完整的思想政治教育世界;人工智能作为认识思想政治教育的新视角,其所强调的相关关系无法代替因果关系;人工智能的工具理性不能包蕴思想政治教育的价值理性;作为技术方法的人工智能,其纯理性特质和虚拟性特征与思想政治教育方法的感性和现实性要求之间亦存在矛盾。 Artificial intelligence has been widely applied in the teaching of ideological and political theory courses,the daily ideological and political work,the online ideological and political education and other activities,with unlimited potential but not omnipotent.The limitations of ontology,cognition,value and methods constitute the basic limitations of applying artificial intelligence in ideological and political education.The"twin"world of ideological and political education constructed based on big data is not equivalent to the real and complete world of ideological and political education in its ontological sense.Artificial intelligence,as a new perspective for understanding ideological and political education,cannot replace causal relationships with its emphasis on correlation,nor can its instrumental rationality encompass the value rationality of ideological and political education.As a technological method,artificial intelligence also has a contradiction between its pure rational and virtual characteristics and the emotional and practical requirements of the methods for ideological and political education.
作者 郝博炜 HAO Bowei(School of Marxism,Hebei Normal University,Shijiazhuang 050024,China)
出处 《山西高等学校社会科学学报》 2024年第2期56-62,共7页 Social Sciences Journal of Universities in Shanxi
基金 河北省高等学校人文社会科学研究项目“思想政治教育应用人工智能的限度研究”(SQ2022131)。
关键词 思想政治教育 大数据 人工智能 有限性 ideological and political education big data artificial intelligence limitations
作者简介 郝博炜(1992—),女,河北石家庄人,河北师范大学马克思主义学院讲师,法学博士,从事社会思潮与青年教育研究。
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  • 1刘畅.国家治理中问责与容错的内在张力与合理均衡[J].政治学研究,2021(2):125-135. 被引量:54
  • 2杨熙龄.美梦还是噩梦(上)——关于“人工智能”的哲学遐想[J].国外社会科学,1987(5):3-9. 被引量:2
  • 3康德..《纯粹理性批判》..北京:生活.读书.新知三联书店,,1957..第16,260-261,456页..
  • 4康德.《纯粹理性批判》,邓晓芒译,北京:人民出版社,2004年.
  • 5George E. P Launer and Press, 1979 Box, "Robustness in the Strategy of Scientific Model Building, " in R. L. G.N. Wilkinson, eds., Robustness in Statistics, New York: Academic p. 202.
  • 6Chris Anderson, "The End of Theory: The Data Deluge Makes the Scientific Method Obsolete, " Wired, June 2008.
  • 7Viktor Mayer-Schonberger and Kenneth Cukier, Big Data Will Transform How We Live, Work and Think, New York Harcourt, 2013, pp. 7,12, 17. A Revolution that Houghton Mifflin.
  • 8David Hume, An Enquiry Concerning Human Understanding, New York: Ox{ord University Press Inc., 1999, p. 146.
  • 9David Hume, An Enquiry Concerning Human Understanding, p. 159.
  • 10Robert R. Pagano, Understanding Statistics in the Behavioral Sciences, 10th ed., Wadsworth: Cengage Learning, 2013, p.144.

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