Tracking the New Demand for Justice in the Big Data Ecosystem

C. V. Pérez, J. L. P. Figueroa
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Abstract

Abstract Many studies have focused on the possibilities that organizations have to mine and analyze, through computational analytics, the huge amount of structured and unstructured data that is now available, to determine correlations and thus reveal patterns, trends, and associations to predict human behaviour; and to transform this information into knowledge for companies and governments. That is, just from the point of view of the suppliers of good and services. In this paper we contribute to the Law and Economics literature by showing that the logic of Big Data, the access to the cloud, and the use of Artificial Intelligence are drastically changing the ordinary citizen’s way of making decisions in the field of justice; and that this new paradigm in the Demand for Justice will mean improvements in terms of both equity and efficiency, and ultimately an improvement in social welfare.
追踪大数据生态系统下的新正义需求
许多研究都集中在组织必须通过计算分析挖掘和分析现有的大量结构化和非结构化数据的可能性,以确定相关性,从而揭示模式、趋势和关联,以预测人类行为;并将这些信息转化为公司和政府的知识。也就是说,只是从商品和服务的提供者的角度来看。在本文中,我们通过展示大数据的逻辑、云的访问和人工智能的使用正在彻底改变普通公民在司法领域做出决策的方式,从而为法律和经济学文献做出贡献;“正义的要求”的这种新模式将意味着在公平和效率方面的改善,并最终改善社会福利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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