The Black Box Society

书名：The Black Box SocietyTheSecretAlgorithmsThatControlMoneyandInformation
作者：FrankPasquale
译者：
ISBN：9780674368279
出版社：HarvardUniversityPress
出版时间：2015-1-5
格式：epub/mobi/azw3/pdf
页数：320
豆瓣评分：

书籍简介：

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.

作者简介：

Frank Pasquale is Professor of Law at the University of Maryland, an Affiliate Fellow at Yale Law School’s Information Society Project, and a member of the Council for Big Data, Ethics, and Society.

书友短评：

@ Яανeη In The Black Box Society, Frank Pasquale develops a critique of asymmetrical power: corporations’ secrecy is highly valued by legal orders, but persons’ privacy is continually invaded by these corporations. @ 椒盐水煮鱼 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.

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
6 Toward an Intelligible Society p. 189
Notes p. 221
Acknowledgments p. 305
Index p. 307
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