首页|环境执法自动化裁量的法治挑战与制度因应

环境执法自动化裁量的法治挑战与制度因应

The Challenge of Rule of Law and Institutional Response to the Automatic Discretion of Environmental Law Enforcement

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碳中和、碳达峰旨在实现国家和全球的生态环境可持续治理,也为我国环境保护工作的高质量推进指明了方向.为提升执法效能,行政主体已逐步部署算法装置,用于环境违法问题的非现场治理.面对环境执法从街头官僚向算法官僚的转变过程,社会一般主体对技术裁量正当性的疑问成为了行政法治关注的焦点.况且,自动化裁量质效的提升通常基于对海量数据的训练,鉴于政府自身数据记录的局限性,引入并调度私人部门的数据存量用以形成更全面、准确的裁量模型,也是推进自动化裁量高水平演进的题中之义.此外,环境执法部门应正视裁量基准的正向价值,通过完善裁量话语体系的方式,达致生态友好型行政执法的法理情相统一.
Carbon neutrality and peaking aims to achieve sustainable ecological and environmental governance both at the national and global levels.Green development,as a crucial pursuit in environmental law enforcement,has seen administrative bodies gradually deploy algorithmic systems for remote regulation of environmental violations.Facing the transition from street-level bureaucratic enforcement to algorithmic enforcement,questions regarding the legitimacy of technological discretion have become a focal point in administrative legality.Moreover,the improvement in the efficiency and effectiveness of automated decisions often relies on training with vast amounts of data.Given the limitations in government-recorded data,the inclusion and utilization of data from private sectors to form more comprehensive and accurate decision-making models is pivotal in advancing high-level automation in judgment.Additionally,environmental enforcement agencies should recognize the positive values of decision-making benchmarks.Through enhancing the discourse system of decision-making standards,they aim to achieve a unified legal and ecological-friendly approach in administrative law enforcement.

green developmentenvironmental law enforcementautomatic discretionprocedural justicedata sharing

孙海涛、周奇锜

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河海大学法学院

河海大学公用事业法研究所

绿色发展 环境执法 自动化裁量 程序正义 数据共享

江苏省社科基金项目河海大学优秀硕士学位论文培育计划项目河海大学中央高校业务经费项目

21FXD001422003502B220201073

2024

行政与法
吉林省行政学院

行政与法

CHSSCD
影响因子:0.338
ISSN:1007-8207
年,卷(期):2024.(3)
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