学科分类
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2 个结果
  • 简介:数字经济时代反垄断面临的挑战需要探究新的应对策略.面对反垄断文本模糊引致规范准确适用难题、文本竞合造成规范选择适用障碍的双重挑战,"规范保护目的论"因其发展轨迹及外在功能,可为解决数字经济时代反垄断的挑战提供有益借鉴.出于尊重差异、预防滥用的考量,"规范保护目的论"适用于反垄断领域应遵循类型化的基本要求.依循数字经济时代垄断纠纷与反垄断法律规范文本之间的关系,可得出数字经济时代反垄断领域"规范保护目的论"的三种场景化适用路径:文本明确时补强适用、文本模糊时解释适用、文本竞合时选择适用.Abstract:The challenges facing anti-monopoly in the era of digital economy require the exploration of new coping strategies.In the face of the dual challenges of accurate application of norms due to the ambiguity of anti-monopoly texts and the obstacle of selective application of norms due to textual competition,"the theory of normative protection purposes",due to its developmental trajectory and extrinsic functions,can provide useful reference for solving the chal-lenges of anti-monopoly in the digital economy era.In order to respect differences and prevent abuses,the application of"the theory of normative protection purposes",to the anti-monopoly field should follow the basic requirement of ty-pology.Followi

  • 标签: 数字经济反垄断"规范保护目的论"规范文本类型化
  • 简介:人工智能时代的公共数据不仅释放了经济和社会价值,而且成为推动社会治理现代化、促进数字经济高质量发展和实现国家治理体系与治理能力现代化的关键力量.公共数据处理者的权责配置应当与人工智能发展水平相适应.当前公共数据的数据处理者权责不够清晰和周延,限制了公共数据开放和利用的进一步发展.根据权责对等原则,在处理公共数据时,应当赋予不同主体以不同的职责和权限.为此提出公共数据处理者权责配置思路是从数据确权到数据管理运营权的确立,构建公共数据处理者管理、运营、开发的权责体系,并在此基础上明确公共数据处理者责任主体范围、建立多维风险防范措施、平衡数据开放与个人信息及隐私保护、强化数据开放和获取的公平性等公共数据处理者权责配置具体措施.Abstract:In the era of artificial intelligence,public data not only unleashes economic and social value but also be-comes a key force in promoting the modernization of social governance,fostering high-quality development of the digi-tal economy,and achieving the modernization of the national governance system and governance capabilities.The allo-cation of rights and responsibilities of public data processors should be in line with the level of artificial intelligence de-velopment.At present,the rights and responsibilities of data processors of public data are not clear and extended,which limits the further development of public data opening and utilization.To this end,the idea of configuring the rights and responsi...

  • 标签: 人工智能公共数据数据处理权责配置