How Big Data Harms Poor Communities

Surveillance and public-benefits programs gather large amounts of information on low-income people, feeding opaque algorithms that can trap them in poverty.

Kaveh Waddell

Apr 8, 2016

Big data can help solve problems that are too big for one person to wrap their head around. It’s helped businesses cut costs, cities plan new developments, intelligence agencies discover connections between terrorists, health officials predict outbreaks, and police forces get ahead of crime. Decision-makers are increasingly told to “listen to the data,” and make choices informed by the outputs of complex algorithms.

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