Big Data's Disparate Impact

This article has become the classic starting point for debates about algorithmic bias, exploring potential sources (especially as regards tainted data), and thinking through legal responses. Whilst limited to the US context in the latter part (and since then joined by a veritable flood of literature on algorithmic discrimination), it remains an essential contribution to a crucial discussion.


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Jeremias Adams-Prassl

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Algorithms at Work

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