张樯

• 1:华中师范大学政治学与国家治理研究院

摘要(Abstract)：

官僚制想象世界的方式决定了它的治理方式，而官僚制的想象结构又受到视角和认知工具的影响。现代官僚制的治理是在理性视角下抽象建模的过程，各种治理对象被归置于特定秩序之中。由于抽象建模与复杂现实之间的紧张关系，官僚制与治理对象关于世界的想象始终存在差异，其后果便是官僚制的治理决策存在忽视治理对象具体情况的想象“死区”问题。这一问题长期以来被官僚制的技术优越性与其所掌握的结构性暴力所掩盖。随着当代治理环境的发展日益复杂，官僚制试图通过不断迭代认知工具来满足治理的客观需求并回应外界的批评。作为一种新兴的认知工具，生成式人工智能的匹配、预测功能可以增强官僚制的理性认识能力，而其所具备的交互、模拟功能将有助于官僚制超越传统的理性视角局限。特别地，生成式人工智能可以通过模拟来代替治理对象“发声”,进而促成阐释性劳动的重新分配。只要认识到这一点，生成式人工智能的治理潜能就能得到更大程度的发挥。

关键词(KeyWords)： 官僚制;想象“死区”;生成式人工智能;认知工具;认知分工

Abstract:

Keywords:

基金项目(Foundation): 国家社会科学基金重点项目“国家治理中的非预期结果及其应对研究”(项目批准号:23AZZ013);; 中国博士后科学基金面上资助项目“计算政治学视角下的情动计算研究”(项目批准号:2024M761085)的资助

作者(Author): 张樯

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