图书标签: 算法 美国 社会 非虚构 行业-DataScience 美國 科普 社科
发表于2024-12-23
Automating Inequality pdf epub mobi txt 电子书 下载 2024
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.
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.
太水了,纪实文学呀……
评分Thought-provoking but biased and occasionally misleading.
评分内容非常详实,故事讲得也很棒(读到traumatized)。作者试图说明 computing tech is a new way of policing and punishing the poor,不过说服力稍弱,没什么对alternative hypothesis的讨论。
评分内容非常详实,故事讲得也很棒(读到traumatized)。作者试图说明 computing tech is a new way of policing and punishing the poor,不过说服力稍弱,没什么对alternative hypothesis的讨论。
评分写得好好啊: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。
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Automating Inequality pdf epub mobi txt 电子书 下载 2024