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2024-06-14
Weapons of Math Destruction pdf epub mobi txt 电子书 下载 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.
Big data ethics, 数据和模型导致了社会资源的重新配置很有启发。抒情和道德抨击减一星。
评分认真推荐给每一位朋友。大多数人并没有意识到借着大数据(或人工智能、算法等)的旗号,科技巨头和政府的作恶能力有多可怕。特别是国内,针对这方面在制度和舆论上的制衡更是几乎为零。想想这一年多来各种新闻吧,比如某某积分系统,比如 7 分钟识别定位,我们更应感到毛骨悚然
评分太唠叨
评分太唠叨
评分更像是essay合集。道理都还是中肯的。读起来也很快。个人口味问题,更喜欢不论长短薄厚,都能一板一眼扎实严谨的论述结构,而不过多依靠于类似类比。
【春上春树随喜文化】 算法是层级和并行思维的融合 可视化,标准化,规模化,全球化 去中心化,分布式计算,智能虚拟助手 乃至宗教般毋庸置疑的 民主和科学的感召 最后所有人被既得利益者 网罗为囊中之物 辛普森悖论 是《国富论》所谓的 看不见的手 阶层难以穿透 跃迁机会渺茫 ...
评分 评分 评分文 / 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...
评分Weapons of Math Destruction pdf epub mobi txt 电子书 下载 2024