数据保护中的白人和通过数据保护的白人:反暴力应用程序和#MeToo机器人的交叉方法

R. Shelby, J. Harb, Kathryn Henne
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引用次数: 5

摘要

本文分析了旨在为性暴力幸存者提供紧急援助、教育以及报告和建立针对犯罪者的证据的应用程序和人工智能聊天机器人。该分析展示了这些技术如何面对并构成各种形式的压迫,通过对这些数字工具的交叉女权主义检查,使有关数据保护的假设复杂化。在调查不同的反暴力应用程序时,我们询问白人的种族形成如何以可以理解为数据保护的政治,代表性和结构交叉维度的方式表现出来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Whiteness in and through data protection: an intersectional approach to anti-violence apps and #MeToo bots
: This article analyses apps and artificial intelligence chatbots designed to offer survivors of sexual violence with emergency assistance, education, and a means to report and build evidence against perpetrators. Demonstrating how these technologies both confront and constitute forms of oppression, this analysis complicates assumptions about data protection through an intersectional feminist examination of these digital tools. In surveying different anti-violence apps, we interrogate how the racial formation of whiteness manifests in ways that can be understood as the political, representational, and structural intersectional dimensions of data protection.
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