大数据时代的分配正义挑战与规制原则

The Challenges and Regulation Principles of Distributive Justice in the Era of Big Data

在大数据时代,数据就是财富的理念日益深入人心,大数据产业领域的分配矛盾问题凸显。大数据时代对传统分配正义理念的冲击集中体现在分配机会正义、分配程序正义和分配责任正义三个方面。其中,大数据对分配机会正义的挑战,一方面体现为挑战人们参与大数据经济的基本机会公正,另一方面体现为挑战人们谋求更好职业和社会地位的发展机会公正;大数据对分配程序正义的挑战,具体体现为挑战分配程序和标准制定的权威性、统一性和透明性;大数据对分配责任正义的挑战,主要体现在隐私数据保护、数据产品风险事故以及维护数据主权和数据安全三个方面的责任分配。为了应对挑战,大数据时代实现分配正义应当遵循机会均等、分配标准与程序合理以及利益与责任同等分配等原则。

In the era of big data,the concept that data mean wealth is becoming increasingly popular among people.Distributive contradiction in the big data industry is highlighted.The impact of the big data era on the concept of traditional distributive justice is reflected in distributive opportunity justice,distributive procedure justice and distributive responsibility justice.Among them,the challenges of big data on distributive opportunity justice are reflected in two aspects:on the one hand,the basic opportunity fairness of people to participate in the big data economy,and on the other hand,the development opportunity fairness of people to pursue better occupation and higher social status.The impact of big data on distributive procedure justice is embodied in challenging the authority,unity and transparency of distributive procedures and standard setting.The challenges of big data on distributive responsibility justice are mainly reflected in privacy data protection,data product risk accidents and maintenance of data sovereignty and data security.Therefore,to realize distributive justice in the era of big data,it is crucial to follow the principles of equal opportunity,reasonable distribution standards and procedures,and equal distribution of interests and responsibilities.