How the machine ‘thinks’: Understanding opacity in machine learning algorithms

This article considers the issue of opacity as a problem for socially consequential mechanisms of classification and ranking, such as spam filters, credit card fraud detection, search engines, news trends, market segmentation and advertising, insurance or loan qualification, and credit scoring. Thes...

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Bibliographic Details
Published in:	Big data & society Vol. 3; no. 1
Main Author:	Burrell, Jenna
Format:	Journal Article
Language:	English
Published:	London, England SAGE Publications 05.01.2016 SAGE Publishing
Subjects:	inequality discrimination spam filtering Opacity machine learning classification
ISSN:	2053-9517, 2053-9517
Online Access:	Get full text
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