书籍 The Black Box Society的封面

The Black Box Society

Frank Pasquale

出版时间

2015-01-04

ISBN

9780674368279

评分

★★★★★

标签

算法

书籍介绍

Every day, corporations are connecting the dots about our personal behavior—silently scrutinizing clues left behind by our work habits and Internet use. The data compiled and portraits created are incredibly detailed, to the point of being invasive. But who connects the dots about what firms are doing with this information? The Black Box Society argues that we all need to be able to do so—and to set limits on how big data affects our lives.

Hidden algorithms can make (or ruin) reputations, decide the destiny of entrepreneurs, or even devastate an entire economy. Shrouded in secrecy and complexity, decisions at major Silicon Valley and Wall Street firms were long assumed to be neutral and technical. But leaks, whistleblowers, and legal disputes have shed new light on automated judgment. Self-serving and reckless behavior is surprisingly common, and easy to hide in code protected by legal and real secrecy. Even after billions of dollars of fines have been levied, underfunded regulators may have only scratched the surface of this troubling behavior.

Frank Pasquale exposes how powerful interests abuse secrecy for profit and explains ways to rein them in. Demanding transparency is only the first step. An intelligible society would assure that key decisions of its most important firms are fair, nondiscriminatory, and open to criticism. Silicon Valley and Wall Street need to accept as much accountability as they impose on others.

目录
1 Introduction-The Need to Know p. 1
2 Digital Reputation in an Era of Runaway Data p. 19
3 The Hidden Logics of Search p. 59
4 Finance's Algorithms: The Emperor's New Codes p. 101
5 Watching (and Improving) the Watchers p. 140

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用户评论
https://doc.lagout.org/science/0_Computer%20Science/2_Algorithms/The%20Black%20Box%20Society_%20The%20Secret%20Algorithms%20that%20Control%20Money%20and%20Information%20%5BPasquale%202015-01-05%5D.pdf
不喜欢,所以读得草。读起来一堆问号。问题还是老问题,围绕技术如何用来为彼此不分的市场和国家背锅。由reputation, search and finance三个大方面。好像大数据之前黑箱不存在一样?为什么就现在的社会更黑箱社会了呢?变了技术层面形式、规模和表现之后内在逻辑质的差异在哪?(还有就是这书讨论应该仅限美国语境吧
也不能说不好吧,现象都是真的,警惕都该有的,但是作者是个搞法律的,怎么各个概念都不理清就开始下各种结论了……?然后竟然被引了上千次???
更喜欢exposed
In this big data boom, he discussed how the emergence of digital reputation, searching engines and finance algorithms violent personal privacy, harm social orders and harm economy through opque and complicated algorithmic processes.