数字技术嵌入“三不腐”机制的路径探析

    Pathways for Embedding Digital Technology into the “Three-Nots” Anti-Corruption Mechanism

    • 摘要: 随着国家治理现代化进程向纵深推进,廉政治理正面临数字化时代新型腐败冲击与传统治理机制的适配性挑战。依托数字技术对制度刚性、监督效能、文化认同的深度赋能,为“三不腐”机制系统性重构提供了范式革新的可能:在制度维度,通过规则编码推动制度程序数字化,实现自动执行与程序正义,并借助数据反馈持续优化制度设计,强化“不能腐”的刚性约束;在监督层面,以权力运行全程留痕构建数据化追踪体系,依托算法驱动实现廉政风险的智能预警,结合跨域平台与公众参与完善协同共治模式,提升“不敢腐”的立体化威慑;在文化维度,通过精准化廉政教育重塑认知,以沉浸式情境构建传递廉洁价值,借助互动平台凝聚社会廉洁共识,培育“不想腐”的内生自觉。针对技术应用中的伦理张力,数字时代的廉政建设需突破“技术决定论”的迷思,在工具理性与价值理性的张力中探寻平衡。

       

      Abstract: As the modernization of national governance advances in depth, integrity governance faces a new challenge. By deeply empowering institutional rigidity, supervisory efficacy, and cultural identity through digital technology, a paradigm-shifting reconstruction of the “Three-Nots” anti-corruption mechanism becomes possible. At the institutional dimension, rule encoding drives the digitization of institutional procedures, enabling automated enforcement and procedural justice; continuous data feedback further optimizes institutional design, thereby reinforcing the hard constraints of “cannot corrupt”. At the supervisory dimension, comprehensive digital tracing of the exercise of power establishes a data-driven accountability system; algorithm-driven approaches enable intelligent early warning of integrity risks, while cross-domain platforms and public participation strengthen collaborative governance, enhancing the multi-layered deterrence of “dare not corrupt”. At the cultural dimension, precision-targeted integrity education reshapes cognitive frameworks; immersive scenario-based approaches convey the values of clean governance; and interactive platforms consolidate societal consensus on integrity, cultivating the endogenous moral consciousness of “do not wish to corrupt.” In addressing the ethical tensions inherent in technological application, integrity governance in the digital era must move beyond the myth of “technological determinism” and seek a balance between instrumental rationality and value rationality.

       

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