Automating Inequality

书名：Automating InequalityHowHigh-TechToolsProfile,Police,andPunishthePoor
作者：VirginiaEubanks
译者：
ISBN：9781250074317
出版社：St.Martin'sPress
出版时间：2018-1-23
格式：epub/mobi/azw3/pdf
页数：272
豆瓣评分： 6.3

书籍简介：

A powerful investigative look at data-based discrimination―and how technology affects civil and human rights and economic equity The State of Indiana denies one million applications for healthcare, foodstamps and cash benefits in three years―because a new computer system interprets any mistake as “failure to cooperate.” In Los Angeles, an algorithm calculates the comparative vulnerability of tens of thousands of homeless people in order to prioritize them for an inadequate pool of housing resources. In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect. Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems―rather than humans―control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values. This deeply researched and passionate book could not be more timely.

作者简介：

Virginia Eubanks is an Associate Professor of Political Science at the University at Albany, SUNY. She is the author of Digital Dead End: Fighting for Social Justice in the Information Age and co-editor, with Alethia Jones, of Ain’t Gonna Let Nobody Turn Me Around: Forty Years of Movement Building with Barbara Smith. For two decades, Eubanks has worked in community technology and economic justice movements. Today, she is a founding member of the Our Data Bodies Project and a Fellow at New America. She lives in Troy, NY.

书友短评：

@ Ranciere 哎写的好烂啊。。。开篇讲自动化系统如何导致作者的伴侣被系统错认为医疗欺诈，一个漫长的故事，接着回顾poorhouse历史，罗斯福新政，通过几个故事展现现代Medicare系统，homeless service和儿童救援机构如何遗漏了真正需要帮助的穷人。对这本书期待很多，但作者写的真的难以置信的无聊，冗长繁复，结构单调，几乎没有论点，没有深层的讨论，基本就是平行结构例证the system fails to work without explaining how and why。更是和automation和algorithms毫无关系。试图找作者相关论文来看她到底想说什么，但最近几年她都只有畅销书和media article了，不知道是在憋大招还是就躺平了。。 @ MonaVale 有一点我们必须保持谨慎。快速测试和使用数据的技术推动了当今许多美国科技巨头的发展，包括亚马逊、谷歌和脸书。与此同时，快速测试和技术变革对信息透明度和个人权利提出了挑战。作者提出数据创新必须搭配相应的保障措施和参与策略，以测试这些创新服务目标人群的效果。 @ 阿涅 三星半吧… @ 戴戴开出包邮区 A must read for all information professionals

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