生成式人工智能赋能思想政治教育话语建构:价值、挑战及应对

Generative AI Empowering the Discourse Construction of Ideological and Political Education: Values, Challenges and Responses

  • 摘要: 生成式人工智能通过思想政治教育话语主体的情感赋能、思想政治教育话语内容的精准生成、思想政治教育话语场景的协同构建,有力地推动了思想政治教育话语建构的深刻转型。但生成式人工智能在赋能思想政治教育话语建构过程中也潜藏着“算法逻辑”弱化思想政治教育话语认同,“泛娱乐化”扭曲思想政治教育话语内容及“网络圈层”解构思想政治教育话语语境等风险。基于此,要构建人机协同的话语权威体系,打造价值引领的智能供给矩阵,塑造智慧交互的话语渗透场域,确保生成式人工智能与思想政治教育话语的深度融合与协调发展,充分发挥思想政治教育话语的育人实践效能。

     

    Abstract: Generative AI has effectively promoted the profound transformation of the discourse construction of ideological and political education through the emotional empowerment of the discourse subject, the precise production of the discourse content, and the collaborative construction of the discourse scene of ideological and political education. However, in the process of empowering the discourse construction of ideological and political education, generative AI also has hidden risks such as “algorithm logic” weakening the discourse identity of ideological and political education, “pan-entertainment” distorting the discourse content of ideological and political education, and “network circle” deconstructing the discourse context of ideological and political education. Based on this, it is necessary to build a discourse authority system of human-computer collaboration, create a value-led intelligent supply matrix, shape the discourse penetration field of intelligent interaction, ensure the deep integration and coordinated development of generative artificial intelligence and ideological and political education discourse, and give full play to the educational practice effect of ideological and political education discourse.

     

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