详细信息
生成式人工智能赋能思想政治教育:作用机理、风险挑战与实践路径
Generative Artificial Intelligence Empowers Ideological and Political Education:Mechanisms of Action,Risk Challenges,and Practical Pathways
文献类型:期刊文献
中文题名:生成式人工智能赋能思想政治教育:作用机理、风险挑战与实践路径
英文题名:Generative Artificial Intelligence Empowers Ideological and Political Education:Mechanisms of Action,Risk Challenges,and Practical Pathways
作者:王雄伟[1];武承淑[1]
第一作者:王雄伟
机构:[1]甘肃中医药大学马克思主义学院,兰州730000
第一机构:甘肃中医药大学马克思主义学院
年份:2026
卷号:34
期号:2
起止页码:123
中文期刊名:成都理工大学学报(社会科学版)
外文期刊名:Journal of Chengdu University of Technology(Social Sciences)
基金:甘肃省哲学社会科学规划项目(2024YB084)。
语种:中文
中文关键词:生成式人工智能;思想政治教育;理论机理;风险挑战;应对策略
外文关键词:Generative Artificial Intelligence;Ideological and Political Education;Theoretical Mechanisms;Risk Challenges;Response Strategies
摘要:生成式人工智能与思想政治教育的深度融合是教学现代化的必然趋势。生成式人工智能将思想政治教育的模式从单向度灌输转向双向建构、从经验驱动转向数据驱动、从封闭场域转向开放协同,实现了从“人的教育”到“人机共生教育”、从“经验科学”到“数据科学”、从“文化防御”到“文明对话”的突破。生成式人工智能赋能思想政治教育的同时,也引发了意识形态安全的深层威胁、主体性消解的深层危机和数据失序风险的深层挑战。应通过构建“技术治理—主体重构—制度创新”的协同体系破解生成式人工智能介入思想政治教育引发的风险挑战。在技术层面,以人文文化引领技术文化,破解算法偏见与数据污染;在主体层面,以人的全面发展为目标,重塑师生主体性与创造力;在制度层面,以法治保障数据安全,构建协同治理体系。
The deep integration of generative artificial intelligence(GAI)and ideological and political education is an inevitable trend in the modernization of teaching.GAI transforms the models of ideological and political education from one-way indoctrination to bidirectional construction,from experience-driven to data-driven,and from closed settings to open collaboration.This shift achieves breakthroughs from"human education"to"human-AI symbiotic education",from"empirical science"to"data science",and from"cultural isolation"to"civilizational dialogue".While GAI empowers ideological and political education,it also triggers profound threats to ideological security,deep crises of subjective dissipation,and significant challenges from data disorder risks.A synergistic system of"technology governance-subject reconstruction-institutional innovation"should be built to address the risks and challenges arising from generative AI's intervention in ideological and political education.At the technological level,lead technological culture with humanistic culture to address algorithmic bias and data pollution;At the subject level,aim for the comprehensive development of individuals to reshape the subjectivity and creativity of teachers and students;At the institutional level,safeguard data security through the rule of law and construct a collaborative governance framework.
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