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Global Efforts to Redefine Privacy in the Age of Big Data

机译：在大数据时代重新定义隐私的全球努力

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In 2012, retail giant Target was outed in The New York Times for its development of algorithms that were able to identify a teen as pregnant before she was even able to tell her parents herself. To retailers, it seems "new parents are [their] holy grail," and being able to zero in on them early on allows a company to build incentives to hopefully lure those customers into patterns of regular shopping in their stores. How is this done? Today, retailers are able to mine credit card data and other information to study individual behavior against historical buying data patterns. Target statistician Andrew Pole was able to run "test after test, analyzing the data, and before long some useful patterns emerged."
机译：2012年，零售业巨头Target因其算法的开发而在《纽约时报》上露面，该算法能够在未成年人告诉自己的父母之前就将其识别为怀孕。对于零售商来说，“新父母似乎是他们的圣杯”，并且能够尽早介入他们，这使公司能够建立激励机制，希望将这些顾客引诱到他们商店定期购物的方式。怎么做？如今，零售商能够挖掘信用卡数据和其他信息，以根据历史购买数据模式研究个人行为。目标统计学家Andrew Pole能够进行“一次又一次的测试，分析数据，不久之后就会出现一些有用的模式”。

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