圖書標籤: 大數據 社會學 美國 數字社會學 inequality 數學 社會 政治科學
发表于2024-11-22
Weapons of Math Destruction pdf epub mobi txt 電子書 下載 2024
A former Wall Street quant sounds an alarm on mathematical modeling—a pervasive new force in society that threatens to undermine democracy and widen inequality.
We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we get a car loan, how much we pay for health insurance—are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated. But as Cathy O’Neil reveals in this shocking book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they’re wrong. Most troubling, they reinforce discrimination: If a poor student can’t get a loan because a lending model deems him too risky (by virtue of his race or neighborhood), he’s then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a “toxic cocktail for democracy.” Welcome to the dark side of Big Data.
Tracing the arc of a person’s life, from college to retirement, O’Neil exposes the black box models that shape our future, both as individuals and as a society. Models that score teachers and students, sort resumes, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health—all have pernicious feedback loops. They don’t simply describe reality, as proponents claim, they change reality, by expanding or limiting the opportunities people have. O’Neil calls on modelers to take more responsibility for how their algorithms are being used. But in the end, it’s up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.
Catherine ("Cathy") Helen O'Neil is an American mathematician and the author of the blog mathbabe.org and several books on data science, including Weapons of Math Destruction. She was the former Director of the Lede Program in Data Practices at Columbia University Graduate School of Journalism, Tow Center and was employed as Data Science Consultant at Johnson Research Labs.
She lives in New York City and is active in the Occupy movement.
可能之前期待值太高 所以落差比較大.. 對fairness and accountability in ml比較陌生的人還是很推薦的。 讀起來覺得大媽強項的數學模型方麵可能考慮非technical讀者粗略帶過不過癮, 不是專項的policy方麵argument又比較sloppy...
評分通篇讀完覺得稍空瞭一些 中途迴想起實習時的貸款延期批準模型 誤判率數字背後都聯係著顧客生計 唉想來不止是一個技術問題這麼簡單 作者自己從業經曆背景也蠻厲害的 總體論調不反智!
評分這本中文版已經引進瞭。作者懂技術,更看得懂技術所帶來社會動力,乃至一些技術無法預見的後果……當然視角是左翼的
評分https://book.douban.com/review/9331833/
評分一篇討伐大數據的檄文。與那些贊歌不同,作者解釋各行各業中所用的數學模型(以及人們應對這些模型的方法)背後所蘊藏的種種歧視、黑箱與不公。這些陰暗麵加劇瞭當今社會的貧富差距和底層人民的憤怒,監管時不我待。
文 / 董小琳 我们可以将时代划分为:有大数据之前 和 有大数据之后。 为什么要这么分? 因为,谁也不能忽视,大数据对我们每个人生活方方面面的影响。 比如说: 之前,你的日子过得好不好,恐怕除了家里人,只有几个关系特别好的朋友知道。 甚至,在亲戚比较多的大家庭里,你还...
評分 評分 評分感谢 recall 这本书的不知名同学,谢谢你逼得我用4个小时读完。 作者创造了“数学杀伤性武器”(Weapons of Math Destruction, WMD)这个词指代统计模型,探讨现实生活中统计模型的大规模应用对社会的影响。 正面例子是棒球、篮球比赛的分析,可以即时调整战术(参考《点球成金...
評分Weapons of Math Destruction pdf epub mobi txt 電子書 下載 2024