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
Main Author: Jenna Burrell
Format: Article
Language:English
Published: SAGE Publishing 2016-01-01
Series:Big Data & Society
Online Access:https://doi.org/10.1177/2053951715622512