Governing Algorithms: Myth, Mess, and Methods

被引:222
作者
Ziewitz, Malte [1 ]
机构
[1] Cornell Univ, Dept Sci & Technol Studies, Ithaca, NY 14853 USA
关键词
algorithms; governance; myth; methods; politics; POWER; CODE; WEB;
D O I
10.1177/0162243915608948
中图分类号
D58 [社会生活与社会问题]; C913 [社会生活与社会问题];
学科分类号
摘要
Algorithms have developed into somewhat of a modern myth. On the one hand, they have been depicted as powerful entities that rule, sort, govern, shape, or otherwise control our lives. On the other hand, their alleged obscurity and inscrutability make it difficult to understand what exactly is at stake. What sustains their image as powerful yet inscrutable entities? And how to think about the politics and governance of something that is so difficult to grasp? This editorial essay provides a critical backdrop for the special issue, treating algorithms not only as computational artifacts but also as sensitizing devices that can help us rethink some entrenched assumptions about agency, transparency, and normativity.
引用
收藏
页码:3 / 16
页数:14
相关论文
共 63 条
[11]  
Chris Kelty, 2003, LECT RES LIB GROUP 2
[12]  
Christian Sandvig, 2014, 64 ANN M INT COMM AS
[13]  
Christopher Steiner, 2012, AUTOMATE THIS ALGORI
[14]  
Chun WHK, 2008, CONFIGURATIONS, V16, P299
[15]  
Collins Harry M., 1992, ARTIFICIAL EXPERTS S
[16]  
Cynthia Dwork, 2011, 11043913 ARXIV
[17]   ALGORITHMIC ACCOUNTABILITY Journalistic investigation of computational power structures [J].
Diakopoulos, Nicholas .
DIGITAL JOURNALISM, 2015, 3 (03) :398-415
[18]  
Ed Felten, 2012, FREEDOM TINKER 0912
[19]   Is chess the drosophila of artificial intelligence? A social history of an algorithm [J].
Ensmenger, Nathan .
SOCIAL STUDIES OF SCIENCE, 2012, 42 (01) :5-30
[20]  
Executive Office of the President, 2014, BIG DAT SEIZ OPP PRE