Weapons of Math Destruction 在线电子书 图书标签: 大数据 社会学 美国 数字社会学 inequality 数学 社会 政治科学
发表于2024-05-20
Weapons of Math Destruction 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024
迷信大数据的时代,需要好好读一下这本书
评分直译过来,就是数杀器。对大数据的合理使用,可以提高效率;否则,加剧社会不公。
评分羊烤这缠头不是早就黑过了蟆
评分可能之前期待值太高 所以落差比较大.. 对fairness and accountability in ml比较陌生的人还是很推荐的。 读起来觉得大妈强项的数学模型方面可能考虑非technical读者粗略带过不过瘾, 不是专项的policy方面argument又比较sloppy...
评分各种案例堆积,看不下去。对每个模型bad feedback loop都分析了,但是alternative呢?transparency怎么做不够深入
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.
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.
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...
Weapons of Math Destruction 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024