监视和公共安全:因所谓的数字中立而扩大的偏见和社会隔离

P. Miranda, Camila Berlim Schneider
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引用次数: 0

摘要

本文旨在展示所谓的无偏见的新算法实现如何通过监督机制加剧歧视和偏见。当有关人口的个人信息被应用于人工智能技术的开发时,在一个已经以选择性为特征的社会中,后果可能是灾难性的。齐格蒙特·鲍曼(Zygmunt Bauman)对监控的分析给出了起点,描述了信息社会是如何形成并形成今天的形式的。然后,通过基于演绎方法的文献回顾,可以观察到,在存在永久不安全感和种族歧视已经制度化的国家,缺乏透明的预测算法使用,特别是刑事司法,对公共政策的有效性造成负面影响,使越来越多的受害者和加剧差距,而不是促进安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vigilância e segurança pública: preconceitos e segregação social ampliados pela suposta neutralidade digital (Surveillance and public security: prejudices and social segregation widened by the alleged digital neutrality)
This article attends to demonstrate how the new algorithmic implementations, allegedly unbiased, accentuate discrimination and prejudice through the surveillance mechanisms. When personal information about the population is applied to the development of artificial intelligence technologies, in a society already marked by selectivity, the consequences can be catastrophic. The starting point is given by the analysis on surveillance, updated by Zygmunt Bauman, describing how the information society was shaped and gained the form it has today. Then, through a bibliographic review based on a deductive method, it is possible to observe that in countries where there is a permanent feeling of insecurity and racial discrimination has become institutionalized, the lack of transparent use of predictive algorithms, especially by criminal justice, causes negative effects on effectiveness of public policies, making more and more victims and accentuating disparities, instead of promoting security.
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