工作场所技术变革的法律与政治经济学

Brishen Rogers
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引用次数: 16

摘要

摘要:本文探讨了劳动和就业法如何影响工作场所的技术变革。它专注于新兴的数据驱动技术,如机器学习,这是人工智能的一个分支,引发了人们对未来工作的广泛担忧。这篇文章认为,劳动和就业法从两个方面影响了雇主的技术选择。首先,这些法律通过授予雇主收集工作场所数据、利用这些数据开发新技术以及将这些技术应用于工作场所(通常不考虑工人的偏好)的广泛权利,有助于促进技术发展。其次,这些法律引导技术发展向特定方向发展,特别是鼓励公司利用技术对工人施加权力,从而降低劳动力成本。这一分析具有政策意义。除此之外,报告还指出,为了确保体面的未来工作,可能需要进行改革,以确保工人在工作场所技术的开发和部署中拥有发言权。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Law & Political Economy of Workplace Technological Change
Abstract: This article explores how labor and employment laws shape workplace technological change. It focuses on emerging data-driven technologies such as machine learning, the branch of artificial intelligence that has sparked widespread concern about the future of work. The article argues that labor and employment laws shape employers’ technological choices in two ways. First, those laws help to facilitate technological development by granting employers broad rights to gather workplace data, to develop new technologies using that data, and to implement those technologies into the workplace, typically regardless of workers’ preferences. Second, those laws channel technological development in certain directions, in particular by encouraging companies to use technologies to exert power over workers and therefore cut labor costs. This analysis has policy implications. Among other things, it suggests that ensuring a decent future of work may require reforms to guarantee workers a voice in the development and deployment of workplace technologies.
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