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