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作 者:李祎恒[1] 吴嘉慧 LI Yiheng;WU Jiahui(School of Law,Hohai University,Nanjing 211100,China)
出 处:《大数据》2025年第2期167-176,共10页Big Data Research
基 金:国家社会科学基金项目(No.23BFX036)。
摘 要:生态环境大数据作为新质生产力的重要组成部分,有助于推动环境治理高效化、科学化、精准化,实现环境治理向智能化转型。然而,将生态环境大数据应用于我国环境治理实践仍面临诸多现实问题:一是缺乏数据利用相关的法律规范,妨碍了数据利用,导致数据调用困难;二是生态环境大数据安全技术保障不足,引发数据失真和数据泄露等安全风险;三是算法监管制度不完善带来算法歧视,破坏我国环境治理生态。为解决上述现实问题,提出加强立法、技术保障和监督管理三方面的优化措施,通过加强数据基本法律制度建设,加强隐私保护、区块链等数字安全保障技术的研究以及健全算法监管方式等措施,纾解生态环境大数据应用过程中面临的问题,为实现环境治理现代化打下坚实基础。Ecological environment big data,as an important part of the new quality productivity,helps promoting efficient,scientific and precise environmental governance and realizing the intelligent transformation of environmental governance.However,the current application of ecological environment big data in China's environmental governance practice faces practical difficulties:firstly,the lack of legal regulations on data utilization hinders data utilization,leading to difficulties in data retrieval;secondly,the insufficient security technology guarantee for ecological environment big data results in data security risks,such as data distortion and data leakage;thirdly,the inadequate regulatory system for big data algorithms leds to algorithmic discrimination and disrupts China's environmental governance ecosystem.To solve the current problems,this paper starts from three aspects:strengthening legislation,technical support,and supervision and management.Combined with China's environmental governance practice,we need to continuously explore new paths for ecological environment big data governance in China through strengthening the construction of basic legal systems for data,enhancing privacy protection,researching digital security technologies such as blockchain,and improving algorithm supervision methods.This paper lays a solid foundation for achieving modernization of environmental governance.
关 键 词:生态环境大数据 环境治理 数据安全 区块链 算法监督
分 类 号:D922.1[政治法律—宪法学与行政法学]
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