书籍 Weapons of Math Destruction的封面

Weapons of Math Destruction

Cathy O'Neil

出版社

Crown

出版时间

2016-09-05

ISBN

9780553418811

评分

★★★★★

标签

算法

书籍介绍

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.

目录
本书所获赞誉
前言
第一章 盲点炸弹 不透明、规模化和毁灭性
第二章 操纵与恐吓 弹震症患者的醒悟
第三章 恶意循环 排名模型的特权与焦虑

显示全部
用户评论
Big data ethics 的综述,但相当不 technical,甚至隐约透露出对模型的蔑视。
羊烤这缠头不是早就黑过了蟆
这本中文版已经引进了。作者懂技术,更看得懂技术所带来社会动力,乃至一些技术无法预见的后果……当然视角是左翼的
用来写essay的,学习一下几个WMD example的表达方式
例举了很多大数据模型应用在社会中有危害的例子 模型没有fairness 没有accountability 模型无法自动纠错导致负面循环 尤其受其害的是lower class
看起来还是挺轻松的 算是算法偏见的入门读物 还不错
作者是DE Shaw quant analyst, 有亲身经历这一点就比很多commentator有可信度
从一个前华尔街quant的phd角度看数据治理的滥用问题,有远见的,不过对中国社会参考价值低了一些
这本书更偏向介绍现象 而非go deep into the real technical aspects 有时间的话可以读一下 还是很好的介绍了大数据时代的一些黑暗面的