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

Title: How the machine ‘thinks’: Understanding opacity in machine learning algorithms
Creator(s): Burrell, Jenna
Date: 2016
Is Part Of: Big Data & Society
Language: eng
Rights: © The Author(s) 2016
Short Title: How the machine ‘thinks’
DOI: https://journals.sagepub.com/doi/10.1177/2053951715622512
Zotero BiDiAr: https://www.zotero.org/groups/5293298/bidiar/items/2IDCEDLFitem-list
Abstract: This article considers the issue of opacity as a problem for socially consequential mechanisms of classification and ranking, such as spam filters, credit card ...

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Bibliography of Digital Archaeology