书籍 Automating Inequality的封面

Automating Inequality

Virginia Eubanks

出版时间

2018-01-22

ISBN

9781250074317

评分

★★★★★

标签

算法

书籍介绍

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.

用户评论
new atlantis 之后新的utopia
轶事型事例用了不少,大的数据也不缺,但是从证据到结论相当跳跃,而且专注抨击现有模型但是对大概率是未来主流的机器学习却点到为止不得不让人怀疑取巧。
三星半吧…
写得好好啊:这里算法的问题不是简单地把人的工作改成了机器工作提高了效率,这种改变本身会改变社会话语对于poor等概念的理解从而改变大众对于这些东西在政策上的感知。 同时,不可避免的数据收集也进一步加深了不平等(比如帮助警察criminalize这些人)。这本书比简单地批评算法而不说出和之前制度区别的文献要深刻了很多。
Thought-provoking but biased and occasionally misleading.
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。
A must read for all information professionals
没有中文版 可谓是艰难读完