生成式AI时代思想政治教育话语的风险审视与治理进路

Examining Risks and Governance Pathways for Discourse in Ideological and Political Education in the Era of Generative AI

  • 摘要: 生成式AI的兴起正深刻重塑思想政治教育的话语格局,推动其从单向规训向人机互构的范式转型。技术介入不仅引发话语偏移、叙事消解与阐释让渡的解构效应,也催生出人机协同的话语重建逻辑。教育者角色演变为话语驯化和价值校准双重主体,人机协商机制推动话语动态平衡,多模态技术重建话语的认知图式。在技术不断迭代的背景下,构建包括动态规制、标准嵌入以及素养提升在内的三维调适体系,实现技术赋能和价值导向的有机融合。最终,唯有立足技术向善的伦理基座,推动形成具有人文温度与价值共识的话语实践,方能在技术进步中坚守并形塑思想政治教育的根本使命。

     

    Abstract: Generative AI is reshaping discourse in ideological and political education, shifting its paradigm from one-way discipline to human-machine co-construction. While introducing deconstructive risks such as discourse deviation and interpretive transfer, it also enables reconstruction through human-machine collaboration. Educators now assume a dual role in guiding discourse and calibrating values; negotiation mechanisms foster discursive equilibrium, and multimodal tools reshape cognitive schemata. Amid ongoing technological iteration, a tripartite framework—dynamic regulation, embedded standards, and enhanced literacy—is vital to align technological empowerment with value-driven goals. Ultimately, grounding practice in an ethics of technology for good and advancing discourse rich in humanistic warmth and shared values are essential to preserving and advancing the core mission of ideological and political education.

     

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