Automating Inequality 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Automating Inequality

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Virginia Eubanks 作者
St. Martin's Press
譯者
2018-1-23 出版日期
272 頁數
USD 17.70 價格
Hardcover
叢書系列
9781250074317 圖書編碼

Automating Inequality 在線電子書 圖書標籤: 算法  美國  社會  非虛構  行業-DataScience  美國  科普  社科   


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發表於2024-06-26

Automating Inequality 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Automating Inequality 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Automating Inequality 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



Automating Inequality 在線電子書 用戶評價

評分

寫得好好啊:這裏算法的問題不是簡單地把人的工作改成瞭機器工作提高瞭效率,這種改變本身會改變社會話語對於poor等概念的理解從而改變大眾對於這些東西在政策上的感知。 同時,不可避免的數據收集也進一步加深瞭不平等(比如幫助警察criminalize這些人)。這本書比簡單地批評算法而不說齣和之前製度區彆的文獻要深刻瞭很多。

評分

內容非常詳實,故事講得也很棒(讀到traumatized)。作者試圖說明 computing tech is a new way of policing and punishing the poor,不過說服力稍弱,沒什麼對alternative hypothesis的討論。

評分

寫得好好啊:這裏算法的問題不是簡單地把人的工作改成瞭機器工作提高瞭效率,這種改變本身會改變社會話語對於poor等概念的理解從而改變大眾對於這些東西在政策上的感知。 同時,不可避免的數據收集也進一步加深瞭不平等(比如幫助警察criminalize這些人)。這本書比簡單地批評算法而不說齣和之前製度區彆的文獻要深刻瞭很多。

評分

Ultimately a great nation is a compassionate nation. 人也一樣

評分

寫得好好啊:這裏算法的問題不是簡單地把人的工作改成瞭機器工作提高瞭效率,這種改變本身會改變社會話語對於poor等概念的理解從而改變大眾對於這些東西在政策上的感知。 同時,不可避免的數據收集也進一步加深瞭不平等(比如幫助警察criminalize這些人)。這本書比簡單地批評算法而不說齣和之前製度區彆的文獻要深刻瞭很多。

Automating Inequality 在線電子書 著者簡介

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.


Automating Inequality 在線電子書 著者簡介


Automating Inequality 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Automating Inequality 在線電子書 圖書描述

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.

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