自动化行政给付的算法风险及其法律规制  

Algorithmic Risks and Legal Regulations of Automated Administrative Benefit

在线阅读下载全文

作  者:梅帅[1] Mei Shuai(Law School,Sichuan University,Chengdu,Sichuan,China)

机构地区:[1]四川大学法学院

出  处:《四川师范大学学报(社会科学版)》2025年第2期71-80,202,共11页Journal of Sichuan Normal University(Social Sciences Edition)

基  金:四川省哲学社会科学规划项目“行政机关自我纠错制度研究”(SC24FZ023)的阶段性成果。

摘  要:算法与行政给付的深度融合是行政给付数字化转型的关键因素。自动化行政给付不仅重塑了申请受理的运行方式,也实现了给付事项的智能处理。然而,自动化行政给付的过程也带来算法歧视或偏见、算法权力、信息茧房等新型风险,影响自动化行政给付的效能发挥。因此,规制自动化行政给付的算法风险显得尤为必要。在宏观上,应明晰自动化行政给付算法风险的法律规制向度,更新分配正义理念,确立风险预防原则;在微观上,应完善风险预防的法律规范,增强数字包容的技术供给,形成多维给付数据的共享机制,建立算法偏见的合作监管机制,完善技术运用的法律责任机制,以健全自动化行政给付算法风险的法律规制体系。The deep integration of algorithms and administrative benefit is a key factor in the digital transformation of administrative benefit.Automated administrative benefit not only reshapes the operation mode of application and acceptance,but also realizes the intelligent processing of payment matters.However,the process of automated administrative benefit may lead to new risks such as algorithm discrimination,algorithm bias,algorithm power,and information cocoon,which affect the effectiveness of automated administrative benefit.Therefore,it is particularly essential to regulate the algorithmic risks of automated administrative benefit.In the macroscopic aspect,it is imperative to clarify the legal regulatory dimension of the risks associated with automated administrative benefit algorithms,update the concept of distributive justice,and establish the principle of risk prevention.From microcosmic view,it is necessary to establish sound legal norms for risk prevention,enhance the supply of digital inclusive technology,form a mechanism for sharing multidimensional payment data,establish a cooperative supervision mechanism for algorithm bias,improve the legal responsibility mechanism for technology application so as to establish a sound legal regulatory system for algorithm risks.

关 键 词:自动化行政给付 算法风险 分配正义 法律规制 

分 类 号:D92[政治法律—法学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象