Computers and Populism: Artificial Intelligence, Jobs and Politics in the Near Term

F. Levy
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引用次数: 69

Abstract

I project the near-term future of work to ask whether job losses induced by artificial intelligence will increase the appeal of populist politics. The paper first explains how computers and machine learning automate workplace tasks. Automated tasks help to both create and eliminate jobs and I show why job elimination centres in blue-collar and clerical work—impacts similar to those of manufactured imports and offshored services. I sketch the near-term evolution of three technologies aimed at blue-collar and clerical occupations: autonomous long-distance trucks, automated customer service responses, and industrial robotics. I estimate that in the next 5–7 years, the jobs lost to each of these technologies will be modest but visible. I then outline the structure of populist politics. Populist surges are rare but a populist candidate who pits ‘the people’ (truck drivers, call centre operators, factory operatives) against ‘the elite’ (software developers, etc.) will be mining many of the US regional and education fault lines that were part of the 2016 presidential election.
计算机和民粹主义:近期的人工智能、就业和政治
我预测工作的近期未来,以询问人工智能导致的失业是否会增加民粹主义政治的吸引力。这篇论文首先解释了计算机和机器学习如何使工作场所的任务自动化。自动化任务既有助于创造就业机会,也有助于消除就业机会,我还说明了为什么蓝领和文书工作的就业机会减少会产生与进口制成品和离岸服务类似的影响。我概述了针对蓝领和文职职业的三种技术的近期发展:自动长途卡车、自动客户服务响应和工业机器人。我估计,在未来的5-7年里,每一种技术所导致的工作岗位流失将是适度的,但却是显而易见的。然后,我概述了民粹主义政治的结构。民粹主义的激增是罕见的,但一个让“人民”(卡车司机、呼叫中心接线员、工厂操作员)与“精英”(软件开发人员等)对立的民粹主义候选人将挖掘美国许多地区和教育断层线,这些断层线是2016年总统大选的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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