Examination and Practical Path of Construction of Artificial Intelligence Large Language Model Corpus in Ideological and Political Education
Artificial intelligence models such as ChatGPT have reshaped the traditional content production mode and information dissemination mode,and brought problems such as data masking and technological alienation,content fiction and information epidemic,privacy infringement and subject weakening,con-sciousness illusion and distortion of consciousness to ideological and political education at the levels of da-ta,content,ethics,and consciousness.The volume,quality,type,and modality of corpus data have a crucial impact on the training and effect of the AI model,and the data training dependence of the large model,the limitation of content scaling,the instrumentality ofemergence of ethics and the humanism of consciousness alignment are the main reasons for the practical dilemma of the large model of ideological and political education.To deal with the risk of artificial intelligence large models intervening in ideological and political education,it is necessary to strengthen the governance of data sources,take technology as the underlying logic,and build a professional,wide-field,multimodal,and high-quality corpus of artificial in-telligence large models of ideological and political education from the four dimensions of data controllabili-ty,credible content,ethical reliability,and feasible awareness,strengthen the management of the whole process of corpus data collection,feature extraction,content fine-tuning,and feedback update,improve the monitoring and intervention ability of artificial intelligence large models of ideological and political edu-cation,ensure the safety and controllability of large AI models,and lay the foundation for AI to provide high-quality ideological and political education services.
ideological and political educationartificial intelligencelarge modelcorpuspath
万方数据
维普
