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Weapons of Math Destruction

机译:数学毁灭武器

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摘要

We live in the era of "big data" which, ultimately, originated in the burgeoning human population. In a sense the modern computer began with Hollerith's "tabulating machine" used to process and tabulate the 1890 census of the US population.1,2 Large-scale "number crunching" is used nowadays by governments to monitor the citizens they govern, by scientists to systematize their observations, by engineers to simulate systems too complex for analytical solutions, and by private companies to maximize income. This development has been enabled not only by the enormous increase in computing power and the enormous decrease in the cost of data storage ("memory"), but also by the development of sophisticated hardware with which the data can be gathered. For example, the People's Republic of China's "social credit" system relies, inter alia, on ubiquitous urban surveillance cameras. Whole-genome sequencing relies on the fragmentation of the genome, sequence determination of the fragments, and a unique, most probable, reconstruction using pattern-matching algorithms. Finite element analysis is ubiquitous in the engineering world as a way of testing new structures and devices and optimizing their performances. Cellphones, the Internet and electronic payment systems enable enormous volumes of purchasing transactions to be recorded and analysed; in the relentless search for patterns, algorithms may evolve whose inner workings are opaque to the human observer.3 Although Western observers see China's social credit project as an enormous erosion of personal freedom by the State, private companies in the West, albeit in the more fragmented fashion, are doing much the same thing: applications for insurance policies, personal loans and jobs will all nowadays be initially scrutinized by algorithms to screen out unsuitable applicants.
机译:我们生活在“大数据”的时代,最终起源于蓬勃发展的人口。在某种程义上,现代计算机开始使用Hollerith的“表格机器”来处理和制表美国人口的1890人口普查.1,2大规模“数量嘎吱作响”现在由政府使用科学家监测他们治理的公民通过工程师来系统化他们的观察,以模拟系统过于复杂的分析解决方案,并由私营公司最大限度地提高收入。该开发不仅通过计算能力的巨大增加和数据存储成本(“存储器”)的巨大降低而启用,而且通过开发可以收集数据的复杂硬件。例如,中华人民共和国的“社会信用”系统依托普遍城市监控摄像机依赖。全基因组测序依赖于基因组的破碎,序列测定碎片的序列测定,以及使用模式匹配算法的独特,最可能的重建。有限元分析在工程世界中普遍存在,作为测试新结构和设备的一种方式,并优化其性能。手机,互联网和电子支付系统实现旨在记录和分析巨大的购买事务;在不懈的模式中,算法可能会发展,其内部工作对人类观察者来说是不透明的。碎片的时尚,正在做同样的事情:保险政策的申请,现在最初将通过算法仔细审查,以筛选不合适的申请人。

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