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2024-08-03
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.
名字起得不錯,作者對“數學殺傷性武器“的定義也很明確:opaque, large scale ,disruptive. 現實生活中的例子也有清晰闡述,包括 value added model 並不能真正反映教師的水平(很多差生+很多好生的班級能夠進步的空間不大,相反比較中等的班級更容易通過提高成績而增加教師的評分);大數據分析信貸對弱勢群體的不公;自動調班係統讓零售業打工者疲於奔命等。
評分https://book.douban.com/review/9331833/
評分太嘮叨
評分Big data ethics, 數據和模型導緻瞭社會資源的重新配置很有啓發。抒情和道德抨擊減一星。
評分https://book.douban.com/review/9331833/
虽然是很多事实的罗列,但如果不去看,可能永远也不会知道。前半部分比较无趣,后半部分有种战斗的感觉。 人类发明出来的许多工具都是中性的,关键是如何利用。这可能不仅仅是一个科技上的问题,更是一个道德问题。风险共担的意识在大数据时代更为重要和宝贵。因为一旦违背道德...
評分 評分Weapons of Math Destruction pdf epub mobi txt 電子書 下載 2024